#!/usr/bin/python
import sys
import pickle
from feature_format import featureFormat, targetFeatureSplit
from tester import dump_classifier_and_data, test_classifier # importing items from tester.py
### Task 1: Select what features you'll use.
### features_list is a list of strings, each of which is a feature name.
### The first feature must be "poi".
features_list = ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']
### Load the dictionary containing the dataset
with open("final_project_dataset.pkl", "r") as data_file:
data_dict = pickle.load(data_file)
### Task 2: Remove outliers
# Remove outliers based on outlier investigation
del data_dict['TOTAL']
del data_dict['THE TRAVEL AGENCY IN THE PARK']
# https://stackoverflow.com/questions/5844672/delete-an-item-from-a-dictionary - Used as source to do data cleaning
# See Sources document for further details.
### Task 3: Create new feature(s)
### Store to my_dataset for easy export below.
my_dataset = data_dict
for a in my_dataset: # creating new feature
if type(my_dataset[a]['salary']) != int:
my_dataset[a]['salary_bonus'] = 0
elif type(my_dataset[a]['bonus']) != int:
my_dataset[a]['salary_bonus'] = 0
else:
my_dataset[a]['salary_bonus'] = my_dataset[a]['bonus'] + my_dataset[a]['salary']
for a in my_dataset: # creating new feature
if type(my_dataset[a]['restricted_stock_deferred']) != int:
my_dataset[a]['resto_dirfees'] = 0
elif type(my_dataset[a]['director_fees']) != int:
my_dataset[a]['resto_dirfees'] = 0
else:
my_dataset[a]['resto_dirfees'] = my_dataset[a]['restricted_stock_deferred'] + my_dataset[a]['director_fees']
### Extract features and labels from dataset for local testing
data = featureFormat(my_dataset, features_list, sort_keys = True)
labels, features = targetFeatureSplit(data)
### Task 4: Try a varity of classifiers
### Please name your classifier clf for easy export below.
### Note that if you want to do PCA or other multi-stage operations,
### you'll need to use Pipelines. For more info:
### http://scikit-learn.org/stable/modules/pipeline.html
# Provided to give you a starting point. Try a variety of classifiers.
from sklearn.naive_bayes import GaussianNB
clf = GaussianNB()
### Task 5: Tune your classifier to achieve better than .3 precision and recall
### using our testing script. Check the tester.py script in the final project
### folder for details on the evaluation method, especially the test_classifier
### function. Because of the small size of the dataset, the script uses
### stratified shuffle split cross validation. For more info:
### http://scikit-learn.org/stable/modules/generated/sklearn.cross_validation.StratifiedShuffleSplit.html
print test_classifier(clf, my_dataset, features_list) # Using Validation code provided by Udacity
### Task 6: Dump your classifier, dataset, and features_list so anyone can
### check your results. You do not need to change anything below, but make sure
### that the version of poi_id.py that you submit can be run on its own and
### generates the necessary .pkl files for validating your results.
dump_classifier_and_data(clf, my_dataset, features_list)
GaussianNB() Accuracy: 0.70733 Precision: 0.36284 Recall: 1.00000 F1: 0.53248 F2: 0.74008 Total predictions: 6000 True positives: 1000 False positives: 1756 False negatives: 0 True negatives: 3244 None
#!/usr/bin/pickle
""" a basic script for importing student's POI identifier,
and checking the results that they get from it
requires that the algorithm, dataset, and features list
be written to my_classifier.pkl, my_dataset.pkl, and
my_feature_list.pkl, respectively
that process should happen at the end of poi_id.py
"""
import pickle
import sys
from sklearn.cross_validation import StratifiedShuffleSplit
from feature_format import featureFormat, targetFeatureSplit
PERF_FORMAT_STRING = "\
\tAccuracy: {:>0.{display_precision}f}\tPrecision: {:>0.{display_precision}f}\t\
Recall: {:>0.{display_precision}f}\tF1: {:>0.{display_precision}f}\tF2: {:>0.{display_precision}f}"
RESULTS_FORMAT_STRING = "\tTotal predictions: {:4d}\tTrue positives: {:4d}\tFalse positives: {:4d}\
\tFalse negatives: {:4d}\tTrue negatives: {:4d}"
All = [] # Added by me
def test_classifier(clf, dataset, feature_list, folds = 1000):
data = featureFormat(dataset, feature_list, sort_keys = True)
labels, features = targetFeatureSplit(data)
Yield = [] # added by me
cv = StratifiedShuffleSplit(labels, folds, random_state = 42)
true_negatives = 0
false_negatives = 0
true_positives = 0
false_positives = 0
for train_idx, test_idx in cv:
features_train = []
features_test = []
labels_train = []
labels_test = []
for ii in train_idx:
features_train.append( features[ii] )
labels_train.append( labels[ii] )
for jj in test_idx:
features_test.append( features[jj] )
labels_test.append( labels[jj] )
### fit the classifier using training set, and test on test set
clf.fit(features_train, labels_train)
predictions = clf.predict(features_test)
for prediction, truth in zip(predictions, labels_test):
if prediction == 0 and truth == 0:
true_negatives += 1
elif prediction == 0 and truth == 1:
false_negatives += 1
elif prediction == 1 and truth == 0:
false_positives += 1
elif prediction == 1 and truth == 1:
true_positives += 1
else:
print "Warning: Found a predicted label not == 0 or 1."
print "All predictions should take value 0 or 1."
print "Evaluating performance for processed predictions:"
break
try:
total_predictions = true_negatives + false_negatives + false_positives + true_positives
accuracy = 1.0*(true_positives + true_negatives)/total_predictions
precision = 1.0*true_positives/(true_positives+false_positives)
recall = 1.0*true_positives/(true_positives+false_negatives)
Yield.append(str(accuracy)) # this line and the 4 below added by me to compile all the combinations
Yield.append(str(precision))
Yield.append(str(recall))
Yield.append(feature_list)
All.append(Yield)
f1 = 2.0 * true_positives/(2*true_positives + false_positives+false_negatives)
f2 = (1+2.0*2.0) * precision*recall/(4*precision + recall)
print clf
print feature_list # added by me
print PERF_FORMAT_STRING.format(accuracy, precision, recall, f1, f2, display_precision = 5)
print RESULTS_FORMAT_STRING.format(total_predictions, true_positives, false_positives, false_negatives, true_negatives)
print ""
except:
print "Got a divide by zero when trying out:", clf
print "Precision or recall may be undefined due to a lack of true positive predicitons."
CLF_PICKLE_FILENAME = "my_classifier.pkl"
DATASET_PICKLE_FILENAME = "my_dataset.pkl"
FEATURE_LIST_FILENAME = "my_feature_list.pkl"
def dump_classifier_and_data(clf, dataset, feature_list):
with open(CLF_PICKLE_FILENAME, "w") as clf_outfile:
pickle.dump(clf, clf_outfile)
with open(DATASET_PICKLE_FILENAME, "w") as dataset_outfile:
pickle.dump(dataset, dataset_outfile)
with open(FEATURE_LIST_FILENAME, "w") as featurelist_outfile:
pickle.dump(feature_list, featurelist_outfile)
def load_classifier_and_data():
with open(CLF_PICKLE_FILENAME, "r") as clf_infile:
clf = pickle.load(clf_infile)
with open(DATASET_PICKLE_FILENAME, "r") as dataset_infile:
dataset = pickle.load(dataset_infile)
with open(FEATURE_LIST_FILENAME, "r") as featurelist_infile:
feature_list = pickle.load(featurelist_infile)
return clf, dataset, feature_list
def main():
### load up student's classifier, dataset, and feature_list
clf, dataset, feature_list = load_classifier_and_data()
### Run testing script
test_classifier(clf, dataset, feature_list)
if __name__ == '__main__':
main()
GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.70733 Precision: 0.36284 Recall: 1.00000 F1: 0.53248 F2: 0.74008 Total predictions: 6000 True positives: 1000 False positives: 1756 False negatives: 0 True negatives: 3244
Variables = my_dataset.values()[1].keys() # Create list of features
print Variables
print len(Variables)
# remove some features that do not work well as features or to remove redundancy
Variables.remove('email_address')
Variables.remove('loan_advances')
Variables.remove('poi')
print Variables
print len(Variables)
['to_messages', 'salary_bonus', 'deferral_payments', 'expenses', 'poi', 'deferred_income', 'email_address', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'loan_advances', 'from_messages', 'other', 'director_fees', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'] 23 ['to_messages', 'salary_bonus', 'deferral_payments', 'expenses', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'other', 'director_fees', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'] 20
# Create list of feature combinations
import itertools
from itertools import chain, combinations #Used stackoverflow.com source as background - See reference sheet
V1 = []
VariableCombinations = []
i = 1
while i < 5:
V1.append(list(itertools.combinations(Variables, i)))
i = i + 1
for a in V1:
for b in a:
VariableCombinations.append(list(b))
print len(VariableCombinations)
print len(V1)
6195 4
# run list of combinations through the validation code in test_classifier function added above and print it and
# add to list "All"
for a in VariableCombinations:
print ['poi'] + a
test_classifier(clf, my_dataset, ['poi'] + a)
['poi', 'to_messages'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'salary_bonus'] GaussianNB() ['poi', 'salary_bonus'] Accuracy: 0.78800 Precision: 0.57492 Recall: 0.17650 F1: 0.27008 F2: 0.20490 Total predictions: 9000 True positives: 353 False positives: 261 False negatives: 1647 True negatives: 6739 ['poi', 'deferral_payments'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'expenses'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'deferred_income'] GaussianNB() ['poi', 'deferred_income'] Accuracy: 0.81800 Precision: 0.59534 Recall: 0.28100 F1: 0.38179 F2: 0.31418 Total predictions: 5000 True positives: 281 False positives: 191 False negatives: 719 True negatives: 3809 ['poi', 'long_term_incentive'] GaussianNB() ['poi', 'long_term_incentive'] Accuracy: 0.84114 Precision: 0.18539 Recall: 0.03300 F1: 0.05603 F2: 0.03949 Total predictions: 7000 True positives: 33 False positives: 145 False negatives: 967 True negatives: 5855 ['poi', 'restricted_stock_deferred'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'shared_receipt_with_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'from_messages'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'other'] GaussianNB() ['poi', 'other'] Accuracy: 0.77220 Precision: 0.00709 Recall: 0.00100 F1: 0.00175 F2: 0.00121 Total predictions: 10000 True positives: 2 False positives: 280 False negatives: 1998 True negatives: 7720 ['poi', 'director_fees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'resto_dirfees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'bonus'] GaussianNB() ['poi', 'bonus'] Accuracy: 0.78867 Precision: 0.57980 Recall: 0.17800 F1: 0.27238 F2: 0.20664 Total predictions: 9000 True positives: 356 False positives: 258 False negatives: 1644 True negatives: 6742 ['poi', 'total_stock_value'] GaussianNB() ['poi', 'total_stock_value'] Accuracy: 0.86131 Precision: 0.61467 Recall: 0.26400 F1: 0.36936 F2: 0.29800 Total predictions: 13000 True positives: 528 False positives: 331 False negatives: 1472 True negatives: 10669 ['poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_poi_to_this_person'] Accuracy: 0.73650 Precision: 0.02632 Recall: 0.00150 F1: 0.00284 F2: 0.00185 Total predictions: 8000 True positives: 3 False positives: 111 False negatives: 1997 True negatives: 5889 ['poi', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock'] Accuracy: 0.81000 Precision: 0.37216 Recall: 0.06550 F1: 0.11139 F2: 0.07842 Total predictions: 11000 True positives: 131 False positives: 221 False negatives: 1869 True negatives: 8779 ['poi', 'salary'] GaussianNB() ['poi', 'salary'] Accuracy: 0.79660 Precision: 0.46398 Recall: 0.10950 F1: 0.17718 F2: 0.12925 Total predictions: 10000 True positives: 219 False positives: 253 False negatives: 1781 True negatives: 7747 ['poi', 'total_payments'] GaussianNB() ['poi', 'total_payments'] Accuracy: 0.82262 Precision: 0.05780 Recall: 0.01000 F1: 0.01705 F2: 0.01198 Total predictions: 13000 True positives: 20 False positives: 326 False negatives: 1980 True negatives: 10674 ['poi', 'exercised_stock_options'] GaussianNB() ['poi', 'exercised_stock_options'] Accuracy: 0.90409 Precision: 0.46055 Recall: 0.32100 F1: 0.37831 F2: 0.34171 Total predictions: 11000 True positives: 321 False positives: 376 False negatives: 679 True negatives: 9624 ['poi', 'to_messages', 'salary_bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus'] Accuracy: 0.81682 Precision: 0.48773 Recall: 0.14900 F1: 0.22827 F2: 0.17303 Total predictions: 11000 True positives: 298 False positives: 313 False negatives: 1702 True negatives: 8687 ['poi', 'to_messages', 'deferral_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments'] Accuracy: 0.76227 Precision: 0.12362 Recall: 0.05050 F1: 0.07171 F2: 0.05728 Total predictions: 11000 True positives: 101 False positives: 716 False negatives: 1899 True negatives: 8284 ['poi', 'to_messages', 'expenses'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'deferred_income'] Accuracy: 0.82182 Precision: 0.53559 Recall: 0.15050 F1: 0.23497 F2: 0.17578 Total predictions: 11000 True positives: 301 False positives: 261 False negatives: 1699 True negatives: 8739 ['poi', 'to_messages', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive'] Accuracy: 0.80482 Precision: 0.33181 Recall: 0.07250 F1: 0.11900 F2: 0.08593 Total predictions: 11000 True positives: 145 False positives: 292 False negatives: 1855 True negatives: 8708 ['poi', 'to_messages', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred'] Accuracy: 0.27830 Precision: 0.11399 Recall: 0.91800 F1: 0.20281 F2: 0.38082 Total predictions: 10000 True positives: 918 False positives: 7135 False negatives: 82 True negatives: 1865 ['poi', 'to_messages', 'shared_receipt_with_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'from_messages'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'other'] Accuracy: 0.80458 Precision: 0.01133 Recall: 0.00200 F1: 0.00340 F2: 0.00239 Total predictions: 12000 True positives: 4 False positives: 349 False negatives: 1996 True negatives: 9651 ['poi', 'to_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'director_fees'] Accuracy: 0.26640 Precision: 0.11338 Recall: 0.92900 F1: 0.20209 F2: 0.38093 Total predictions: 10000 True positives: 929 False positives: 7265 False negatives: 71 True negatives: 1735 ['poi', 'to_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees'] Accuracy: 0.15133 Precision: 0.10824 Recall: 0.91700 F1: 0.19362 F2: 0.36762 Total predictions: 9000 True positives: 917 False positives: 7555 False negatives: 83 True negatives: 445 ['poi', 'to_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'bonus'] Accuracy: 0.81909 Precision: 0.50850 Recall: 0.14950 F1: 0.23107 F2: 0.17408 Total predictions: 11000 True positives: 299 False positives: 289 False negatives: 1701 True negatives: 8711 ['poi', 'to_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'total_stock_value'] Accuracy: 0.86736 Precision: 0.57534 Recall: 0.27300 F1: 0.37030 F2: 0.30506 Total predictions: 14000 True positives: 546 False positives: 403 False negatives: 1454 True negatives: 11597 ['poi', 'to_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person'] Accuracy: 0.86867 Precision: 0.02105 Recall: 0.00400 F1: 0.00672 F2: 0.00477 Total predictions: 9000 True positives: 4 False positives: 186 False negatives: 996 True negatives: 7814 ['poi', 'to_messages', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock'] Accuracy: 0.82250 Precision: 0.33418 Recall: 0.06550 F1: 0.10953 F2: 0.07805 Total predictions: 12000 True positives: 131 False positives: 261 False negatives: 1869 True negatives: 9739 ['poi', 'to_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary'] Accuracy: 0.83175 Precision: 0.47930 Recall: 0.11000 F1: 0.17893 F2: 0.13004 Total predictions: 12000 True positives: 220 False positives: 239 False negatives: 1780 True negatives: 9761 ['poi', 'to_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_payments'] Accuracy: 0.83293 Precision: 0.10490 Recall: 0.02250 F1: 0.03705 F2: 0.02669 Total predictions: 14000 True positives: 45 False positives: 384 False negatives: 1955 True negatives: 11616 ['poi', 'to_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'exercised_stock_options'] Accuracy: 0.84200 Precision: 0.55556 Recall: 0.26000 F1: 0.35422 F2: 0.29096 Total predictions: 12000 True positives: 520 False positives: 416 False negatives: 1480 True negatives: 9584 ['poi', 'salary_bonus', 'deferral_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments'] Accuracy: 0.76250 Precision: 0.34867 Recall: 0.21600 F1: 0.26675 F2: 0.23379 Total predictions: 10000 True positives: 432 False positives: 807 False negatives: 1568 True negatives: 7193 ['poi', 'salary_bonus', 'expenses'] GaussianNB() ['poi', 'salary_bonus', 'expenses'] Accuracy: 0.82209 Precision: 0.52855 Recall: 0.19900 F1: 0.28914 F2: 0.22735 Total predictions: 11000 True positives: 398 False positives: 355 False negatives: 1602 True negatives: 8645 ['poi', 'salary_bonus', 'deferred_income'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income'] Accuracy: 0.83450 Precision: 0.67765 Recall: 0.32900 F1: 0.44295 F2: 0.36674 Total predictions: 10000 True positives: 658 False positives: 313 False negatives: 1342 True negatives: 7687 ['poi', 'salary_bonus', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive'] Accuracy: 0.78989 Precision: 0.56996 Recall: 0.22200 F1: 0.31954 F2: 0.25288 Total predictions: 9000 True positives: 444 False positives: 335 False negatives: 1556 True negatives: 6665 ['poi', 'salary_bonus', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'salary_bonus', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi'] Accuracy: 0.79736 Precision: 0.37459 Recall: 0.17100 F1: 0.23481 F2: 0.19185 Total predictions: 11000 True positives: 342 False positives: 571 False negatives: 1658 True negatives: 8429 ['poi', 'salary_bonus', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'from_messages'] Accuracy: 0.78873 Precision: 0.36432 Recall: 0.21750 F1: 0.27239 F2: 0.23657 Total predictions: 11000 True positives: 435 False positives: 759 False negatives: 1565 True negatives: 8241 ['poi', 'salary_bonus', 'other'] GaussianNB() ['poi', 'salary_bonus', 'other'] Accuracy: 0.78230 Precision: 0.37155 Recall: 0.12800 F1: 0.19041 F2: 0.14731 Total predictions: 10000 True positives: 256 False positives: 433 False negatives: 1744 True negatives: 7567 ['poi', 'salary_bonus', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'director_fees'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'salary_bonus', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees'] Accuracy: 0.27044 Precision: 0.23348 Recall: 1.00000 F1: 0.37857 F2: 0.60365 Total predictions: 9000 True positives: 2000 False positives: 6566 False negatives: 0 True negatives: 434 ['poi', 'salary_bonus', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'bonus'] Accuracy: 0.77056 Precision: 0.46311 Recall: 0.20400 F1: 0.28323 F2: 0.22970 Total predictions: 9000 True positives: 408 False positives: 473 False negatives: 1592 True negatives: 6527 ['poi', 'salary_bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value'] Accuracy: 0.84877 Precision: 0.51478 Recall: 0.29600 F1: 0.37587 F2: 0.32350 Total predictions: 13000 True positives: 592 False positives: 558 False negatives: 1408 True negatives: 10442 ['poi', 'salary_bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person'] Accuracy: 0.79720 Precision: 0.48138 Recall: 0.18100 F1: 0.26308 F2: 0.20681 Total predictions: 10000 True positives: 362 False positives: 390 False negatives: 1638 True negatives: 7610 ['poi', 'salary_bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi'] Accuracy: 0.78700 Precision: 0.42697 Recall: 0.19000 F1: 0.26298 F2: 0.21372 Total predictions: 10000 True positives: 380 False positives: 510 False negatives: 1620 True negatives: 7490 ['poi', 'salary_bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock'] Accuracy: 0.81483 Precision: 0.37987 Recall: 0.17550 F1: 0.24008 F2: 0.19666 Total predictions: 12000 True positives: 351 False positives: 573 False negatives: 1649 True negatives: 9427 ['poi', 'salary_bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'salary'] Accuracy: 0.77780 Precision: 0.37775 Recall: 0.17150 F1: 0.23590 F2: 0.19252 Total predictions: 10000 True positives: 343 False positives: 565 False negatives: 1657 True negatives: 7435 ['poi', 'salary_bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_payments'] Accuracy: 0.82808 Precision: 0.34100 Recall: 0.12600 F1: 0.18401 F2: 0.14418 Total predictions: 13000 True positives: 252 False positives: 487 False negatives: 1748 True negatives: 10513 ['poi', 'salary_bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'exercised_stock_options'] Accuracy: 0.84300 Precision: 0.48231 Recall: 0.27950 F1: 0.35391 F2: 0.30516 Total predictions: 13000 True positives: 559 False positives: 600 False negatives: 1441 True negatives: 10400 ['poi', 'deferral_payments', 'expenses'] GaussianNB() ['poi', 'deferral_payments', 'expenses'] Accuracy: 0.76373 Precision: 0.12516 Recall: 0.05000 F1: 0.07145 F2: 0.05682 Total predictions: 11000 True positives: 100 False positives: 699 False negatives: 1900 True negatives: 8301 ['poi', 'deferral_payments', 'deferred_income'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income'] Accuracy: 0.82843 Precision: 0.32821 Recall: 0.19200 F1: 0.24227 F2: 0.20938 Total predictions: 7000 True positives: 192 False positives: 393 False negatives: 808 True negatives: 5607 ['poi', 'deferral_payments', 'long_term_incentive'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive'] Accuracy: 0.70989 Precision: 0.21528 Recall: 0.11550 F1: 0.15034 F2: 0.12730 Total predictions: 9000 True positives: 231 False positives: 842 False negatives: 1769 True negatives: 6158 ['poi', 'deferral_payments', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred'] Accuracy: 0.52400 Precision: 0.27061 Recall: 0.81400 F1: 0.40619 F2: 0.58076 Total predictions: 5000 True positives: 814 False positives: 2194 False negatives: 186 True negatives: 1806 ['poi', 'deferral_payments', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi'] Accuracy: 0.73591 Precision: 0.08141 Recall: 0.04400 F1: 0.05712 F2: 0.04845 Total predictions: 11000 True positives: 88 False positives: 993 False negatives: 1912 True negatives: 8007 ['poi', 'deferral_payments', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'from_messages'] Accuracy: 0.68973 Precision: 0.12118 Recall: 0.11300 F1: 0.11695 F2: 0.11455 Total predictions: 11000 True positives: 226 False positives: 1639 False negatives: 1774 True negatives: 7361 ['poi', 'deferral_payments', 'other'] GaussianNB() ['poi', 'deferral_payments', 'other'] Accuracy: 0.74300 Precision: 0.09893 Recall: 0.05100 F1: 0.06730 F2: 0.05647 Total predictions: 11000 True positives: 102 False positives: 929 False negatives: 1898 True negatives: 8071 ['poi', 'deferral_payments', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'director_fees'] Accuracy: 0.47450 Precision: 0.21362 Recall: 0.80300 F1: 0.33747 F2: 0.51746 Total predictions: 6000 True positives: 803 False positives: 2956 False negatives: 197 True negatives: 2044 ['poi', 'deferral_payments', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees'] Accuracy: 0.30840 Precision: 0.19594 Recall: 0.79200 F1: 0.31416 F2: 0.49241 Total predictions: 5000 True positives: 792 False positives: 3250 False negatives: 208 True negatives: 750 ['poi', 'deferral_payments', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'bonus'] Accuracy: 0.76110 Precision: 0.34649 Recall: 0.21950 F1: 0.26875 F2: 0.23686 Total predictions: 10000 True positives: 439 False positives: 828 False negatives: 1561 True negatives: 7172 ['poi', 'deferral_payments', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value'] Accuracy: 0.86269 Precision: 0.62457 Recall: 0.26950 F1: 0.37653 F2: 0.30407 Total predictions: 13000 True positives: 539 False positives: 324 False negatives: 1461 True negatives: 10676 ['poi', 'deferral_payments', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person'] Accuracy: 0.71490 Precision: 0.10783 Recall: 0.05850 F1: 0.07585 F2: 0.06439 Total predictions: 10000 True positives: 117 False positives: 968 False negatives: 1883 True negatives: 7032 ['poi', 'deferral_payments', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'deferral_payments', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock'] Accuracy: 0.80800 Precision: 0.21028 Recall: 0.09000 F1: 0.12605 F2: 0.10163 Total predictions: 13000 True positives: 180 False positives: 676 False negatives: 1820 True negatives: 10324 ['poi', 'deferral_payments', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'salary'] Accuracy: 0.77109 Precision: 0.26998 Recall: 0.15200 F1: 0.19450 F2: 0.16656 Total predictions: 11000 True positives: 304 False positives: 822 False negatives: 1696 True negatives: 8178 ['poi', 'deferral_payments', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_payments'] Accuracy: 0.82254 Precision: 0.10941 Recall: 0.02150 F1: 0.03594 F2: 0.02562 Total predictions: 13000 True positives: 43 False positives: 350 False negatives: 1957 True negatives: 10650 ['poi', 'deferral_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'exercised_stock_options'] Accuracy: 0.90791 Precision: 0.49096 Recall: 0.35300 F1: 0.41070 F2: 0.37402 Total predictions: 11000 True positives: 353 False positives: 366 False negatives: 647 True negatives: 9634 ['poi', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'expenses', 'deferred_income'] Accuracy: 0.83100 Precision: 0.61068 Recall: 0.19450 F1: 0.29503 F2: 0.22519 Total predictions: 11000 True positives: 389 False positives: 248 False negatives: 1611 True negatives: 8752 ['poi', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'expenses', 'long_term_incentive'] Accuracy: 0.79918 Precision: 0.24697 Recall: 0.05100 F1: 0.08454 F2: 0.06062 Total predictions: 11000 True positives: 102 False positives: 311 False negatives: 1898 True negatives: 8689 ['poi', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.35245 Precision: 0.21923 Recall: 1.00000 F1: 0.35962 F2: 0.58401 Total predictions: 11000 True positives: 2000 False positives: 7123 False negatives: 0 True negatives: 1877 ['poi', 'expenses', 'shared_receipt_with_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'expenses', 'from_messages'] GaussianNB() ['poi', 'expenses', 'from_messages'] Accuracy: 0.76717 Precision: 0.10771 Recall: 0.05450 F1: 0.07238 F2: 0.06047 Total predictions: 12000 True positives: 109 False positives: 903 False negatives: 1891 True negatives: 9097 ['poi', 'expenses', 'other'] GaussianNB() ['poi', 'expenses', 'other'] Accuracy: 0.79645 Precision: 0.00415 Recall: 0.00050 F1: 0.00089 F2: 0.00061 Total predictions: 11000 True positives: 1 False positives: 240 False negatives: 1999 True negatives: 8760 ['poi', 'expenses', 'director_fees'] GaussianNB() ['poi', 'expenses', 'director_fees'] Accuracy: 0.34200 Precision: 0.21650 Recall: 1.00000 F1: 0.35594 F2: 0.58011 Total predictions: 11000 True positives: 2000 False positives: 7238 False negatives: 0 True negatives: 1762 ['poi', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'resto_dirfees'] Accuracy: 0.23960 Precision: 0.20825 Recall: 1.00000 F1: 0.34471 F2: 0.56805 Total predictions: 10000 True positives: 2000 False positives: 7604 False negatives: 0 True negatives: 396 ['poi', 'expenses', 'bonus'] GaussianNB() ['poi', 'expenses', 'bonus'] Accuracy: 0.82482 Precision: 0.54966 Recall: 0.20200 F1: 0.29543 F2: 0.23125 Total predictions: 11000 True positives: 404 False positives: 331 False negatives: 1596 True negatives: 8669 ['poi', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'total_stock_value'] Accuracy: 0.87221 Precision: 0.62253 Recall: 0.26800 F1: 0.37469 F2: 0.30245 Total predictions: 14000 True positives: 536 False positives: 325 False negatives: 1464 True negatives: 11675 ['poi', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.82158 Precision: 0.04516 Recall: 0.00350 F1: 0.00650 F2: 0.00429 Total predictions: 12000 True positives: 7 False positives: 148 False negatives: 1993 True negatives: 9852 ['poi', 'expenses', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock'] Accuracy: 0.83792 Precision: 0.37108 Recall: 0.07700 F1: 0.12754 F2: 0.09150 Total predictions: 13000 True positives: 154 False positives: 261 False negatives: 1846 True negatives: 10739 ['poi', 'expenses', 'salary'] GaussianNB() ['poi', 'expenses', 'salary'] Accuracy: 0.81891 Precision: 0.50889 Recall: 0.11450 F1: 0.18694 F2: 0.13550 Total predictions: 11000 True positives: 229 False positives: 221 False negatives: 1771 True negatives: 8779 ['poi', 'expenses', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_payments'] Accuracy: 0.82269 Precision: 0.06052 Recall: 0.01050 F1: 0.01790 F2: 0.01258 Total predictions: 13000 True positives: 21 False positives: 326 False negatives: 1979 True negatives: 10674 ['poi', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'exercised_stock_options'] Accuracy: 0.85992 Precision: 0.59217 Recall: 0.28750 F1: 0.38708 F2: 0.32048 Total predictions: 13000 True positives: 575 False positives: 396 False negatives: 1425 True negatives: 10604 ['poi', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive'] Accuracy: 0.79056 Precision: 0.56098 Recall: 0.26450 F1: 0.35950 F2: 0.29576 Total predictions: 9000 True positives: 529 False positives: 414 False negatives: 1471 True negatives: 6586 ['poi', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.49550 Precision: 0.24832 Recall: 1.00000 F1: 0.39785 F2: 0.62290 Total predictions: 6000 True positives: 1000 False positives: 3027 False negatives: 0 True negatives: 1973 ['poi', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.80991 Precision: 0.43689 Recall: 0.15750 F1: 0.23153 F2: 0.18060 Total predictions: 11000 True positives: 315 False positives: 406 False negatives: 1685 True negatives: 8594 ['poi', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'from_messages'] Accuracy: 0.82245 Precision: 0.52400 Recall: 0.25650 F1: 0.34441 F2: 0.28567 Total predictions: 11000 True positives: 513 False positives: 466 False negatives: 1487 True negatives: 8534 ['poi', 'deferred_income', 'other'] GaussianNB() ['poi', 'deferred_income', 'other'] Accuracy: 0.80973 Precision: 0.43460 Recall: 0.15450 F1: 0.22796 F2: 0.17736 Total predictions: 11000 True positives: 309 False positives: 402 False negatives: 1691 True negatives: 8598 ['poi', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'director_fees'] Accuracy: 0.48500 Precision: 0.24450 Recall: 1.00000 F1: 0.39293 F2: 0.61805 Total predictions: 6000 True positives: 1000 False positives: 3090 False negatives: 0 True negatives: 1910 ['poi', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees'] Accuracy: 0.27480 Precision: 0.21617 Recall: 1.00000 F1: 0.35549 F2: 0.57964 Total predictions: 5000 True positives: 1000 False positives: 3626 False negatives: 0 True negatives: 374 ['poi', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'bonus'] Accuracy: 0.83430 Precision: 0.67626 Recall: 0.32900 F1: 0.44265 F2: 0.36666 Total predictions: 10000 True positives: 658 False positives: 315 False negatives: 1342 True negatives: 7685 ['poi', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value'] Accuracy: 0.86357 Precision: 0.53505 Recall: 0.34350 F1: 0.41839 F2: 0.36999 Total predictions: 14000 True positives: 687 False positives: 597 False negatives: 1313 True negatives: 11403 ['poi', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.80970 Precision: 0.56147 Recall: 0.22150 F1: 0.31768 F2: 0.25202 Total predictions: 10000 True positives: 443 False positives: 346 False negatives: 1557 True negatives: 7654 ['poi', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.78930 Precision: 0.44362 Recall: 0.21050 F1: 0.28552 F2: 0.23522 Total predictions: 10000 True positives: 421 False positives: 528 False negatives: 1579 True negatives: 7472 ['poi', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock'] Accuracy: 0.83042 Precision: 0.48276 Recall: 0.24500 F1: 0.32504 F2: 0.27177 Total predictions: 12000 True positives: 490 False positives: 525 False negatives: 1510 True negatives: 9475 ['poi', 'deferred_income', 'salary'] GaussianNB() ['poi', 'deferred_income', 'salary'] Accuracy: 0.83745 Precision: 0.60516 Recall: 0.30500 F1: 0.40559 F2: 0.33859 Total predictions: 11000 True positives: 610 False positives: 398 False negatives: 1390 True negatives: 8602 ['poi', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_payments'] Accuracy: 0.83815 Precision: 0.42778 Recall: 0.15400 F1: 0.22647 F2: 0.17661 Total predictions: 13000 True positives: 308 False positives: 412 False negatives: 1692 True negatives: 10588 ['poi', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86177 Precision: 0.57862 Recall: 0.37350 F1: 0.45397 F2: 0.40200 Total predictions: 13000 True positives: 747 False positives: 544 False negatives: 1253 True negatives: 10456 ['poi', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.35675 Precision: 0.16271 Recall: 1.00000 F1: 0.27988 F2: 0.49281 Total predictions: 8000 True positives: 1000 False positives: 5146 False negatives: 0 True negatives: 1854 ['poi', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.77745 Precision: 0.22277 Recall: 0.09000 F1: 0.12821 F2: 0.10218 Total predictions: 11000 True positives: 180 False positives: 628 False negatives: 1820 True negatives: 8372 ['poi', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages'] Accuracy: 0.74227 Precision: 0.27223 Recall: 0.24950 F1: 0.26037 F2: 0.25374 Total predictions: 11000 True positives: 499 False positives: 1334 False negatives: 1501 True negatives: 7666 ['poi', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'other'] Accuracy: 0.76490 Precision: 0.04884 Recall: 0.00950 F1: 0.01591 F2: 0.01132 Total predictions: 10000 True positives: 19 False positives: 370 False negatives: 1981 True negatives: 7630 ['poi', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees'] Accuracy: 0.32378 Precision: 0.14112 Recall: 1.00000 F1: 0.24734 F2: 0.45102 Total predictions: 9000 True positives: 1000 False positives: 6086 False negatives: 0 True negatives: 1914 ['poi', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20386 Precision: 0.15203 Recall: 0.99900 F1: 0.26390 F2: 0.47252 Total predictions: 7000 True positives: 999 False positives: 5572 False negatives: 1 True negatives: 428 ['poi', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'bonus'] Accuracy: 0.79067 Precision: 0.57417 Recall: 0.22450 F1: 0.32279 F2: 0.25564 Total predictions: 9000 True positives: 449 False positives: 333 False negatives: 1551 True negatives: 6667 ['poi', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84323 Precision: 0.48104 Recall: 0.24100 F1: 0.32112 F2: 0.26772 Total predictions: 13000 True positives: 482 False positives: 520 False negatives: 1518 True negatives: 10480 ['poi', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.77710 Precision: 0.20716 Recall: 0.04050 F1: 0.06775 F2: 0.04827 Total predictions: 10000 True positives: 81 False positives: 310 False negatives: 1919 True negatives: 7690 ['poi', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.73767 Precision: 0.13238 Recall: 0.03250 F1: 0.05219 F2: 0.03828 Total predictions: 9000 True positives: 65 False positives: 426 False negatives: 1935 True negatives: 6574 ['poi', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.80858 Precision: 0.28000 Recall: 0.09450 F1: 0.14131 F2: 0.10893 Total predictions: 12000 True positives: 189 False positives: 486 False negatives: 1811 True negatives: 9514 ['poi', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'salary'] Accuracy: 0.78780 Precision: 0.40615 Recall: 0.13200 F1: 0.19925 F2: 0.15260 Total predictions: 10000 True positives: 264 False positives: 386 False negatives: 1736 True negatives: 7614 ['poi', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_payments'] Accuracy: 0.82085 Precision: 0.21490 Recall: 0.06200 F1: 0.09624 F2: 0.07229 Total predictions: 13000 True positives: 124 False positives: 453 False negatives: 1876 True negatives: 10547 ['poi', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83467 Precision: 0.50798 Recall: 0.25450 F1: 0.33911 F2: 0.28271 Total predictions: 12000 True positives: 509 False positives: 493 False negatives: 1491 True negatives: 9507 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.27820 Precision: 0.11655 Recall: 0.94500 F1: 0.20751 F2: 0.39024 Total predictions: 10000 True positives: 945 False positives: 7163 False negatives: 55 True negatives: 1837 ['poi', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.31540 Precision: 0.12019 Recall: 0.92500 F1: 0.21274 F2: 0.39543 Total predictions: 10000 True positives: 925 False positives: 6771 False negatives: 75 True negatives: 2229 ['poi', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other'] Accuracy: 0.35920 Precision: 0.23083 Recall: 0.94500 F1: 0.37102 F2: 0.58377 Total predictions: 10000 True positives: 1890 False positives: 6298 False negatives: 110 True negatives: 1702 ['poi', 'restricted_stock_deferred', 'director_fees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'restricted_stock_deferred', 'resto_dirfees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.32500 Precision: 0.14134 Recall: 1.00000 F1: 0.24768 F2: 0.45147 Total predictions: 9000 True positives: 1000 False positives: 6075 False negatives: 0 True negatives: 1925 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.36000 Precision: 0.15609 Recall: 0.93500 F1: 0.26753 F2: 0.46797 Total predictions: 8000 True positives: 935 False positives: 5055 False negatives: 65 True negatives: 1945 ['poi', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.33527 Precision: 0.21404 Recall: 0.99400 F1: 0.35223 F2: 0.57497 Total predictions: 11000 True positives: 1988 False positives: 7300 False negatives: 12 True negatives: 1700 ['poi', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'salary'] Accuracy: 0.34709 Precision: 0.21732 Recall: 0.99600 F1: 0.35680 F2: 0.58022 Total predictions: 11000 True positives: 1992 False positives: 7174 False negatives: 8 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.25691 Precision: 0.10900 Recall: 1.00000 F1: 0.19658 F2: 0.37954 Total predictions: 11000 True positives: 1000 False positives: 8174 False negatives: 0 True negatives: 1826 ['poi', 'shared_receipt_with_poi', 'from_messages'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78792 Precision: 0.00364 Recall: 0.00100 F1: 0.00157 F2: 0.00117 Total predictions: 12000 True positives: 2 False positives: 547 False negatives: 1998 True negatives: 9453 ['poi', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.26740 Precision: 0.11558 Recall: 0.95100 F1: 0.20611 F2: 0.38886 Total predictions: 10000 True positives: 951 False positives: 7277 False negatives: 49 True negatives: 1723 ['poi', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.14967 Precision: 0.10906 Recall: 0.92800 F1: 0.19518 F2: 0.37093 Total predictions: 9000 True positives: 928 False positives: 7581 False negatives: 72 True negatives: 419 ['poi', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80573 Precision: 0.42117 Recall: 0.18300 F1: 0.25514 F2: 0.20634 Total predictions: 11000 True positives: 366 False positives: 503 False negatives: 1634 True negatives: 8497 ['poi', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84150 Precision: 0.40697 Recall: 0.23950 F1: 0.30154 F2: 0.26098 Total predictions: 14000 True positives: 479 False positives: 698 False negatives: 1521 True negatives: 11302 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.82378 Precision: 0.00339 Recall: 0.00200 F1: 0.00252 F2: 0.00218 Total predictions: 9000 True positives: 2 False positives: 588 False negatives: 998 True negatives: 7412 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.78858 Precision: 0.16479 Recall: 0.06600 F1: 0.09425 F2: 0.07499 Total predictions: 12000 True positives: 132 False positives: 669 False negatives: 1868 True negatives: 9331 ['poi', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80292 Precision: 0.27329 Recall: 0.11000 F1: 0.15686 F2: 0.12493 Total predictions: 12000 True positives: 220 False positives: 585 False negatives: 1780 True negatives: 9415 ['poi', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82721 Precision: 0.10841 Recall: 0.02900 F1: 0.04576 F2: 0.03398 Total predictions: 14000 True positives: 58 False positives: 477 False negatives: 1942 True negatives: 11523 ['poi', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.83350 Precision: 0.50099 Recall: 0.25350 F1: 0.33665 F2: 0.28129 Total predictions: 12000 True positives: 507 False positives: 505 False negatives: 1493 True negatives: 9495 ['poi', 'from_messages', 'other'] GaussianNB() ['poi', 'from_messages', 'other'] Accuracy: 0.77025 Precision: 0.07037 Recall: 0.03100 F1: 0.04304 F2: 0.03491 Total predictions: 12000 True positives: 62 False positives: 819 False negatives: 1938 True negatives: 9181 ['poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'from_messages', 'director_fees'] Accuracy: 0.29930 Precision: 0.11938 Recall: 0.94200 F1: 0.21190 F2: 0.39610 Total predictions: 10000 True positives: 942 False positives: 6949 False negatives: 58 True negatives: 2051 ['poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.19456 Precision: 0.11488 Recall: 0.93200 F1: 0.20454 F2: 0.38471 Total predictions: 9000 True positives: 932 False positives: 7181 False negatives: 68 True negatives: 819 ['poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'from_messages', 'bonus'] Accuracy: 0.78809 Precision: 0.36243 Recall: 0.21800 F1: 0.27224 F2: 0.23688 Total predictions: 11000 True positives: 436 False positives: 767 False negatives: 1564 True negatives: 8233 ['poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'total_stock_value'] Accuracy: 0.86414 Precision: 0.54861 Recall: 0.27650 F1: 0.36769 F2: 0.30695 Total predictions: 14000 True positives: 553 False positives: 455 False negatives: 1447 True negatives: 11545 ['poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.82067 Precision: 0.03485 Recall: 0.02300 F1: 0.02771 F2: 0.02468 Total predictions: 9000 True positives: 23 False positives: 637 False negatives: 977 True negatives: 7363 ['poi', 'from_messages', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'restricted_stock'] Accuracy: 0.80742 Precision: 0.26546 Recall: 0.08800 F1: 0.13218 F2: 0.10158 Total predictions: 12000 True positives: 176 False positives: 487 False negatives: 1824 True negatives: 9513 ['poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'from_messages', 'salary'] Accuracy: 0.76675 Precision: 0.21606 Recall: 0.15200 F1: 0.17846 F2: 0.16158 Total predictions: 12000 True positives: 304 False positives: 1103 False negatives: 1696 True negatives: 8897 ['poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_payments'] Accuracy: 0.83336 Precision: 0.19224 Recall: 0.05200 F1: 0.08186 F2: 0.06088 Total predictions: 14000 True positives: 104 False positives: 437 False negatives: 1896 True negatives: 11563 ['poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84267 Precision: 0.55082 Recall: 0.30350 F1: 0.39136 F2: 0.33344 Total predictions: 12000 True positives: 607 False positives: 495 False negatives: 1393 True negatives: 9505 ['poi', 'other', 'director_fees'] GaussianNB() ['poi', 'other', 'director_fees'] Accuracy: 0.32264 Precision: 0.20481 Recall: 0.94550 F1: 0.33669 F2: 0.54866 Total predictions: 11000 True positives: 1891 False positives: 7342 False negatives: 109 True negatives: 1658 ['poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'other', 'resto_dirfees'] Accuracy: 0.23240 Precision: 0.19930 Recall: 0.94050 F1: 0.32890 F2: 0.53934 Total predictions: 10000 True positives: 1881 False positives: 7557 False negatives: 119 True negatives: 443 ['poi', 'other', 'bonus'] GaussianNB() ['poi', 'other', 'bonus'] Accuracy: 0.78200 Precision: 0.36994 Recall: 0.12800 F1: 0.19019 F2: 0.14726 Total predictions: 10000 True positives: 256 False positives: 436 False negatives: 1744 True negatives: 7564 ['poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'other', 'total_stock_value'] Accuracy: 0.84008 Precision: 0.44942 Recall: 0.17550 F1: 0.25243 F2: 0.19986 Total predictions: 13000 True positives: 351 False positives: 430 False negatives: 1649 True negatives: 10570 ['poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.78209 Precision: 0.00744 Recall: 0.00150 F1: 0.00250 F2: 0.00179 Total predictions: 11000 True positives: 3 False positives: 400 False negatives: 1997 True negatives: 8600 ['poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.76582 Precision: 0.00345 Recall: 0.00100 F1: 0.00155 F2: 0.00117 Total predictions: 11000 True positives: 2 False positives: 578 False negatives: 1998 True negatives: 8422 ['poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'other', 'restricted_stock'] Accuracy: 0.80242 Precision: 0.19739 Recall: 0.06050 F1: 0.09261 F2: 0.07024 Total predictions: 12000 True positives: 121 False positives: 492 False negatives: 1879 True negatives: 9508 ['poi', 'other', 'salary'] GaussianNB() ['poi', 'other', 'salary'] Accuracy: 0.78040 Precision: 0.26887 Recall: 0.05700 F1: 0.09406 F2: 0.06766 Total predictions: 10000 True positives: 114 False positives: 310 False negatives: 1886 True negatives: 7690 ['poi', 'other', 'total_payments'] GaussianNB() ['poi', 'other', 'total_payments'] Accuracy: 0.81377 Precision: 0.01160 Recall: 0.00250 F1: 0.00411 F2: 0.00297 Total predictions: 13000 True positives: 5 False positives: 426 False negatives: 1995 True negatives: 10574 ['poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'exercised_stock_options'] Accuracy: 0.83677 Precision: 0.43052 Recall: 0.18900 F1: 0.26268 F2: 0.21289 Total predictions: 13000 True positives: 378 False positives: 500 False negatives: 1622 True negatives: 10500 ['poi', 'director_fees', 'resto_dirfees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'director_fees', 'bonus'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'director_fees', 'total_stock_value'] Accuracy: 0.25800 Precision: 0.16145 Recall: 1.00000 F1: 0.27801 F2: 0.49048 Total predictions: 14000 True positives: 2000 False positives: 10388 False negatives: 0 True negatives: 1612 ['poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29933 Precision: 0.13687 Recall: 1.00000 F1: 0.24079 F2: 0.44224 Total predictions: 9000 True positives: 1000 False positives: 6306 False negatives: 0 True negatives: 1694 ['poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.39967 Precision: 0.26099 Recall: 0.92900 F1: 0.40750 F2: 0.61446 Total predictions: 9000 True positives: 1858 False positives: 5261 False negatives: 142 True negatives: 1739 ['poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'restricted_stock'] Accuracy: 0.27954 Precision: 0.17470 Recall: 0.98900 F1: 0.29695 F2: 0.51185 Total predictions: 13000 True positives: 1978 False positives: 9344 False negatives: 22 True negatives: 1656 ['poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'director_fees', 'salary'] Accuracy: 0.32400 Precision: 0.21110 Recall: 0.99300 F1: 0.34818 F2: 0.57043 Total predictions: 11000 True positives: 1986 False positives: 7422 False negatives: 14 True negatives: 1578 ['poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_payments'] Accuracy: 0.27654 Precision: 0.16909 Recall: 0.94600 F1: 0.28691 F2: 0.49299 Total predictions: 13000 True positives: 1892 False positives: 9297 False negatives: 108 True negatives: 1703 ['poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.22817 Precision: 0.09745 Recall: 1.00000 F1: 0.17759 F2: 0.35058 Total predictions: 12000 True positives: 1000 False positives: 9262 False negatives: 0 True negatives: 1738 ['poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'resto_dirfees', 'bonus'] Accuracy: 0.27044 Precision: 0.23348 Recall: 1.00000 F1: 0.37857 F2: 0.60365 Total predictions: 9000 True positives: 2000 False positives: 6566 False negatives: 0 True negatives: 434 ['poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.18792 Precision: 0.15900 Recall: 0.99750 F1: 0.27428 F2: 0.48547 Total predictions: 13000 True positives: 1995 False positives: 10552 False negatives: 5 True negatives: 448 ['poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.17888 Precision: 0.13212 Recall: 1.00000 F1: 0.23340 F2: 0.43219 Total predictions: 8000 True positives: 1000 False positives: 6569 False negatives: 0 True negatives: 431 ['poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19129 Precision: 0.14174 Recall: 0.92200 F1: 0.24570 F2: 0.43884 Total predictions: 7000 True positives: 922 False positives: 5583 False negatives: 78 True negatives: 417 ['poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21700 Precision: 0.18774 Recall: 0.99400 F1: 0.31583 F2: 0.53472 Total predictions: 11000 True positives: 1988 False positives: 8601 False negatives: 12 True negatives: 399 ['poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'salary'] Accuracy: 0.23480 Precision: 0.20550 Recall: 0.98600 F1: 0.34012 F2: 0.56035 Total predictions: 10000 True positives: 1972 False positives: 7624 False negatives: 28 True negatives: 376 ['poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22569 Precision: 0.15076 Recall: 0.87050 F1: 0.25701 F2: 0.44531 Total predictions: 13000 True positives: 1741 False positives: 9807 False negatives: 259 True negatives: 1193 ['poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.12864 Precision: 0.09440 Recall: 0.99900 F1: 0.17249 F2: 0.34252 Total predictions: 11000 True positives: 999 False positives: 9584 False negatives: 1 True negatives: 416 ['poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'bonus', 'total_stock_value'] Accuracy: 0.84892 Precision: 0.51565 Recall: 0.29650 F1: 0.37651 F2: 0.32404 Total predictions: 13000 True positives: 593 False positives: 557 False negatives: 1407 True negatives: 10443 ['poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79970 Precision: 0.49794 Recall: 0.18150 F1: 0.26603 F2: 0.20793 Total predictions: 10000 True positives: 363 False positives: 366 False negatives: 1637 True negatives: 7634 ['poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78690 Precision: 0.42714 Recall: 0.19200 F1: 0.26492 F2: 0.21575 Total predictions: 10000 True positives: 384 False positives: 515 False negatives: 1616 True negatives: 7485 ['poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'restricted_stock'] Accuracy: 0.82217 Precision: 0.41986 Recall: 0.17550 F1: 0.24753 F2: 0.19862 Total predictions: 12000 True positives: 351 False positives: 485 False negatives: 1649 True negatives: 9515 ['poi', 'bonus', 'salary'] GaussianNB() ['poi', 'bonus', 'salary'] Accuracy: 0.77760 Precision: 0.37692 Recall: 0.17150 F1: 0.23574 F2: 0.19248 Total predictions: 10000 True positives: 343 False positives: 567 False negatives: 1657 True negatives: 7433 ['poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_payments'] Accuracy: 0.82838 Precision: 0.34371 Recall: 0.12700 F1: 0.18547 F2: 0.14533 Total predictions: 13000 True positives: 254 False positives: 485 False negatives: 1746 True negatives: 10515 ['poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.84354 Precision: 0.48537 Recall: 0.28200 F1: 0.35674 F2: 0.30779 Total predictions: 13000 True positives: 564 False positives: 598 False negatives: 1436 True negatives: 10402 ['poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86446 Precision: 0.63048 Recall: 0.28750 F1: 0.39492 F2: 0.32260 Total predictions: 13000 True positives: 575 False positives: 337 False negatives: 1425 True negatives: 10663 ['poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86677 Precision: 0.65193 Recall: 0.28750 F1: 0.39903 F2: 0.32369 Total predictions: 13000 True positives: 575 False positives: 307 False negatives: 1425 True negatives: 10693 ['poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85754 Precision: 0.57505 Recall: 0.28350 F1: 0.37977 F2: 0.31549 Total predictions: 13000 True positives: 567 False positives: 419 False negatives: 1433 True negatives: 10581 ['poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'salary'] Accuracy: 0.85423 Precision: 0.56069 Recall: 0.24250 F1: 0.33857 F2: 0.27355 Total predictions: 13000 True positives: 485 False positives: 380 False negatives: 1515 True negatives: 10620 ['poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'total_payments'] Accuracy: 0.85267 Precision: 0.38854 Recall: 0.18300 F1: 0.24881 F2: 0.20465 Total predictions: 15000 True positives: 366 False positives: 576 False negatives: 1634 True negatives: 12424 ['poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84069 Precision: 0.46889 Recall: 0.26750 F1: 0.34066 F2: 0.29264 Total predictions: 13000 True positives: 535 False positives: 606 False negatives: 1465 True negatives: 10394 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81583 Precision: 0.28306 Recall: 0.06850 F1: 0.11031 F2: 0.08074 Total predictions: 12000 True positives: 137 False positives: 347 False negatives: 1863 True negatives: 9653 ['poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80582 Precision: 0.38112 Recall: 0.10900 F1: 0.16952 F2: 0.12716 Total predictions: 11000 True positives: 218 False positives: 354 False negatives: 1782 True negatives: 8646 ['poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82631 Precision: 0.08387 Recall: 0.01300 F1: 0.02251 F2: 0.01564 Total predictions: 13000 True positives: 26 False positives: 284 False negatives: 1974 True negatives: 10716 ['poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84408 Precision: 0.56869 Recall: 0.26700 F1: 0.36339 F2: 0.29869 Total predictions: 12000 True positives: 534 False positives: 405 False negatives: 1466 True negatives: 9595 ['poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80192 Precision: 0.20593 Recall: 0.06600 F1: 0.09996 F2: 0.07638 Total predictions: 12000 True positives: 132 False positives: 509 False negatives: 1868 True negatives: 9491 ['poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79145 Precision: 0.30709 Recall: 0.11700 F1: 0.16944 F2: 0.13353 Total predictions: 11000 True positives: 234 False positives: 528 False negatives: 1766 True negatives: 8472 ['poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82631 Precision: 0.10185 Recall: 0.01650 F1: 0.02840 F2: 0.01982 Total predictions: 13000 True positives: 33 False positives: 291 False negatives: 1967 True negatives: 10709 ['poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84317 Precision: 0.56614 Recall: 0.25250 F1: 0.34924 F2: 0.28396 Total predictions: 12000 True positives: 505 False positives: 387 False negatives: 1495 True negatives: 9613 ['poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock', 'salary'] Accuracy: 0.81400 Precision: 0.33090 Recall: 0.11350 F1: 0.16902 F2: 0.13067 Total predictions: 12000 True positives: 227 False positives: 459 False negatives: 1773 True negatives: 9541 ['poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock', 'total_payments'] Accuracy: 0.83036 Precision: 0.20565 Recall: 0.06550 F1: 0.09936 F2: 0.07584 Total predictions: 14000 True positives: 131 False positives: 506 False negatives: 1869 True negatives: 11494 ['poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85100 Precision: 0.52941 Recall: 0.28350 F1: 0.36926 F2: 0.31253 Total predictions: 13000 True positives: 567 False positives: 504 False negatives: 1433 True negatives: 10496 ['poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary', 'total_payments'] Accuracy: 0.82869 Precision: 0.25902 Recall: 0.06100 F1: 0.09875 F2: 0.07201 Total predictions: 13000 True positives: 122 False positives: 349 False negatives: 1878 True negatives: 10651 ['poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary', 'exercised_stock_options'] Accuracy: 0.85146 Precision: 0.53674 Recall: 0.25200 F1: 0.34297 F2: 0.28191 Total predictions: 13000 True positives: 504 False positives: 435 False negatives: 1496 True negatives: 10565 ['poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84936 Precision: 0.43410 Recall: 0.17950 F1: 0.25398 F2: 0.20335 Total predictions: 14000 True positives: 359 False positives: 468 False negatives: 1641 True negatives: 11532 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments'] Accuracy: 0.78283 Precision: 0.28841 Recall: 0.20650 F1: 0.24068 F2: 0.21894 Total predictions: 12000 True positives: 413 False positives: 1019 False negatives: 1587 True negatives: 8981 ['poi', 'to_messages', 'salary_bonus', 'expenses'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses'] Accuracy: 0.83300 Precision: 0.40511 Recall: 0.18250 F1: 0.25164 F2: 0.20503 Total predictions: 13000 True positives: 365 False positives: 536 False negatives: 1635 True negatives: 10464 ['poi', 'to_messages', 'salary_bonus', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income'] Accuracy: 0.85733 Precision: 0.63408 Recall: 0.34050 F1: 0.44307 F2: 0.37525 Total predictions: 12000 True positives: 681 False positives: 393 False negatives: 1319 True negatives: 9607 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive'] Accuracy: 0.80864 Precision: 0.44262 Recall: 0.20250 F1: 0.27787 F2: 0.22715 Total predictions: 11000 True positives: 405 False positives: 510 False negatives: 1595 True negatives: 8490 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred'] Accuracy: 0.31467 Precision: 0.19538 Recall: 0.99800 F1: 0.32678 F2: 0.54787 Total predictions: 12000 True positives: 1996 False positives: 8220 False negatives: 4 True negatives: 1780 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi'] Accuracy: 0.79873 Precision: 0.39082 Recall: 0.19150 F1: 0.25705 F2: 0.21325 Total predictions: 11000 True positives: 383 False positives: 597 False negatives: 1617 True negatives: 8403 ['poi', 'to_messages', 'salary_bonus', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages'] Accuracy: 0.76245 Precision: 0.26036 Recall: 0.16650 F1: 0.20311 F2: 0.17944 Total predictions: 11000 True positives: 333 False positives: 946 False negatives: 1667 True negatives: 8054 ['poi', 'to_messages', 'salary_bonus', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other'] Accuracy: 0.79917 Precision: 0.21208 Recall: 0.07550 F1: 0.11136 F2: 0.08666 Total predictions: 12000 True positives: 151 False positives: 561 False negatives: 1849 True negatives: 9439 ['poi', 'to_messages', 'salary_bonus', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees'] Accuracy: 0.29783 Precision: 0.19135 Recall: 0.99600 F1: 0.32103 F2: 0.54101 Total predictions: 12000 True positives: 1992 False positives: 8418 False negatives: 8 True negatives: 1582 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees'] Accuracy: 0.22055 Precision: 0.18879 Recall: 0.99700 F1: 0.31747 F2: 0.53712 Total predictions: 11000 True positives: 1994 False positives: 8568 False negatives: 6 True negatives: 432 ['poi', 'to_messages', 'salary_bonus', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus'] Accuracy: 0.81227 Precision: 0.46811 Recall: 0.23850 F1: 0.31600 F2: 0.26444 Total predictions: 11000 True positives: 477 False positives: 542 False negatives: 1523 True negatives: 8458 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value'] Accuracy: 0.84343 Precision: 0.41594 Recall: 0.23750 F1: 0.30236 F2: 0.25979 Total predictions: 14000 True positives: 475 False positives: 667 False negatives: 1525 True negatives: 11333 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person'] Accuracy: 0.80600 Precision: 0.40921 Recall: 0.15100 F1: 0.22060 F2: 0.17281 Total predictions: 11000 True positives: 302 False positives: 436 False negatives: 1698 True negatives: 8564 ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi'] Accuracy: 0.80209 Precision: 0.37588 Recall: 0.13400 F1: 0.19757 F2: 0.15379 Total predictions: 11000 True positives: 268 False positives: 445 False negatives: 1732 True negatives: 8555 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock'] Accuracy: 0.80100 Precision: 0.28251 Recall: 0.12600 F1: 0.17427 F2: 0.14170 Total predictions: 12000 True positives: 252 False positives: 640 False negatives: 1748 True negatives: 9360 ['poi', 'to_messages', 'salary_bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'salary'] Accuracy: 0.81250 Precision: 0.33724 Recall: 0.12950 F1: 0.18714 F2: 0.14770 Total predictions: 12000 True positives: 259 False positives: 509 False negatives: 1741 True negatives: 9491 ['poi', 'to_messages', 'salary_bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_payments'] Accuracy: 0.82907 Precision: 0.21060 Recall: 0.07150 F1: 0.10676 F2: 0.08238 Total predictions: 14000 True positives: 143 False positives: 536 False negatives: 1857 True negatives: 11464 ['poi', 'to_messages', 'salary_bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'exercised_stock_options'] Accuracy: 0.83492 Precision: 0.43253 Recall: 0.23400 F1: 0.30370 F2: 0.25765 Total predictions: 13000 True positives: 468 False positives: 614 False negatives: 1532 True negatives: 10386 ['poi', 'to_messages', 'deferral_payments', 'expenses'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses'] Accuracy: 0.77638 Precision: 0.09033 Recall: 0.05000 F1: 0.06437 F2: 0.05490 Total predictions: 13000 True positives: 100 False positives: 1007 False negatives: 1900 True negatives: 9993 ['poi', 'to_messages', 'deferral_payments', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income'] Accuracy: 0.79967 Precision: 0.33054 Recall: 0.19700 F1: 0.24687 F2: 0.21432 Total predictions: 12000 True positives: 394 False positives: 798 False negatives: 1606 True negatives: 9202 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive'] Accuracy: 0.77700 Precision: 0.25000 Recall: 0.16900 F1: 0.20167 F2: 0.18071 Total predictions: 12000 True positives: 338 False positives: 1014 False negatives: 1662 True negatives: 8986 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred'] Accuracy: 0.34064 Precision: 0.20859 Recall: 0.94000 F1: 0.34141 F2: 0.55252 Total predictions: 11000 True positives: 1880 False positives: 7133 False negatives: 120 True negatives: 1867 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi'] Accuracy: 0.74155 Precision: 0.08878 Recall: 0.04550 F1: 0.06017 F2: 0.05042 Total predictions: 11000 True positives: 91 False positives: 934 False negatives: 1909 True negatives: 8066 ['poi', 'to_messages', 'deferral_payments', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages'] Accuracy: 0.69027 Precision: 0.12238 Recall: 0.11400 F1: 0.11804 F2: 0.11558 Total predictions: 11000 True positives: 228 False positives: 1635 False negatives: 1772 True negatives: 7365 ['poi', 'to_messages', 'deferral_payments', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other'] Accuracy: 0.77683 Precision: 0.07940 Recall: 0.03200 F1: 0.04562 F2: 0.03634 Total predictions: 12000 True positives: 64 False positives: 742 False negatives: 1936 True negatives: 9258 ['poi', 'to_messages', 'deferral_payments', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees'] Accuracy: 0.33508 Precision: 0.19152 Recall: 0.92800 F1: 0.31751 F2: 0.52456 Total predictions: 12000 True positives: 1856 False positives: 7835 False negatives: 144 True negatives: 2165 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees'] Accuracy: 0.23591 Precision: 0.18414 Recall: 0.93350 F1: 0.30760 F2: 0.51464 Total predictions: 11000 True positives: 1867 False positives: 8272 False negatives: 133 True negatives: 728 ['poi', 'to_messages', 'deferral_payments', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus'] Accuracy: 0.77958 Precision: 0.28283 Recall: 0.21000 F1: 0.24103 F2: 0.22140 Total predictions: 12000 True positives: 420 False positives: 1065 False negatives: 1580 True negatives: 8935 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value'] Accuracy: 0.86543 Precision: 0.56157 Recall: 0.26450 F1: 0.35962 F2: 0.29580 Total predictions: 14000 True positives: 529 False positives: 413 False negatives: 1471 True negatives: 11587 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person'] Accuracy: 0.74891 Precision: 0.11202 Recall: 0.05500 F1: 0.07378 F2: 0.06123 Total predictions: 11000 True positives: 110 False positives: 872 False negatives: 1890 True negatives: 8128 ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi'] Accuracy: 0.73873 Precision: 0.06903 Recall: 0.03500 F1: 0.04645 F2: 0.03883 Total predictions: 11000 True positives: 70 False positives: 944 False negatives: 1930 True negatives: 8056 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock'] Accuracy: 0.78969 Precision: 0.17174 Recall: 0.09600 F1: 0.12316 F2: 0.10529 Total predictions: 13000 True positives: 192 False positives: 926 False negatives: 1808 True negatives: 10074 ['poi', 'to_messages', 'deferral_payments', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'salary'] Accuracy: 0.77258 Precision: 0.22239 Recall: 0.14600 F1: 0.17628 F2: 0.15677 Total predictions: 12000 True positives: 292 False positives: 1021 False negatives: 1708 True negatives: 8979 ['poi', 'to_messages', 'deferral_payments', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_payments'] Accuracy: 0.83179 Precision: 0.19130 Recall: 0.05500 F1: 0.08544 F2: 0.06414 Total predictions: 14000 True positives: 110 False positives: 465 False negatives: 1890 True negatives: 11535 ['poi', 'to_messages', 'deferral_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'exercised_stock_options'] Accuracy: 0.85662 Precision: 0.55782 Recall: 0.32800 F1: 0.41310 F2: 0.35745 Total predictions: 13000 True positives: 656 False positives: 520 False negatives: 1344 True negatives: 10480 ['poi', 'to_messages', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income'] Accuracy: 0.84015 Precision: 0.44109 Recall: 0.14600 F1: 0.21938 F2: 0.16855 Total predictions: 13000 True positives: 292 False positives: 370 False negatives: 1708 True negatives: 10630 ['poi', 'to_messages', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive'] Accuracy: 0.82700 Precision: 0.32636 Recall: 0.11700 F1: 0.17225 F2: 0.13422 Total predictions: 13000 True positives: 234 False positives: 483 False negatives: 1766 True negatives: 10517 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.28208 Precision: 0.17550 Recall: 0.99150 F1: 0.29822 F2: 0.51376 Total predictions: 13000 True positives: 1983 False positives: 9316 False negatives: 17 True negatives: 1684 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.79733 Precision: 0.00230 Recall: 0.00050 F1: 0.00082 F2: 0.00059 Total predictions: 12000 True positives: 1 False positives: 433 False negatives: 1999 True negatives: 9567 ['poi', 'to_messages', 'expenses', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages'] Accuracy: 0.75575 Precision: 0.09836 Recall: 0.05700 F1: 0.07217 F2: 0.06223 Total predictions: 12000 True positives: 114 False positives: 1045 False negatives: 1886 True negatives: 8955 ['poi', 'to_messages', 'expenses', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other'] Accuracy: 0.81877 Precision: 0.02660 Recall: 0.00500 F1: 0.00842 F2: 0.00597 Total predictions: 13000 True positives: 10 False positives: 366 False negatives: 1990 True negatives: 10634 ['poi', 'to_messages', 'expenses', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees'] Accuracy: 0.27800 Precision: 0.17313 Recall: 0.97800 F1: 0.29418 F2: 0.50679 Total predictions: 13000 True positives: 1956 False positives: 9342 False negatives: 44 True negatives: 1658 ['poi', 'to_messages', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees'] Accuracy: 0.18623 Precision: 0.15692 Recall: 0.98100 F1: 0.27056 F2: 0.47847 Total predictions: 13000 True positives: 1962 False positives: 10541 False negatives: 38 True negatives: 459 ['poi', 'to_messages', 'expenses', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus'] Accuracy: 0.84023 Precision: 0.45253 Recall: 0.18350 F1: 0.26112 F2: 0.20826 Total predictions: 13000 True positives: 367 False positives: 444 False negatives: 1633 True negatives: 10556 ['poi', 'to_messages', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value'] Accuracy: 0.86714 Precision: 0.57042 Recall: 0.28350 F1: 0.37876 F2: 0.31521 Total predictions: 14000 True positives: 567 False positives: 427 False negatives: 1433 True negatives: 11573 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.80825 Precision: 0.04532 Recall: 0.00750 F1: 0.01287 F2: 0.00900 Total predictions: 12000 True positives: 15 False positives: 316 False negatives: 1985 True negatives: 9684 ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock'] Accuracy: 0.82723 Precision: 0.28036 Recall: 0.07850 F1: 0.12266 F2: 0.09171 Total predictions: 13000 True positives: 157 False positives: 403 False negatives: 1843 True negatives: 10597 ['poi', 'to_messages', 'expenses', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'salary'] Accuracy: 0.83746 Precision: 0.40275 Recall: 0.11700 F1: 0.18133 F2: 0.13635 Total predictions: 13000 True positives: 234 False positives: 347 False negatives: 1766 True negatives: 10653 ['poi', 'to_messages', 'expenses', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_payments'] Accuracy: 0.83271 Precision: 0.09670 Recall: 0.02050 F1: 0.03383 F2: 0.02434 Total predictions: 14000 True positives: 41 False positives: 383 False negatives: 1959 True negatives: 11617 ['poi', 'to_messages', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'exercised_stock_options'] Accuracy: 0.85921 Precision: 0.51324 Recall: 0.28100 F1: 0.36317 F2: 0.30896 Total predictions: 14000 True positives: 562 False positives: 533 False negatives: 1438 True negatives: 11467 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive'] Accuracy: 0.83350 Precision: 0.50101 Recall: 0.24850 F1: 0.33222 F2: 0.27636 Total predictions: 12000 True positives: 497 False positives: 495 False negatives: 1503 True negatives: 9505 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.31692 Precision: 0.19614 Recall: 1.00000 F1: 0.32795 F2: 0.54954 Total predictions: 12000 True positives: 2000 False positives: 8197 False negatives: 0 True negatives: 1803 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.80518 Precision: 0.39712 Recall: 0.13800 F1: 0.20482 F2: 0.15871 Total predictions: 11000 True positives: 276 False positives: 419 False negatives: 1724 True negatives: 8581 ['poi', 'to_messages', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages'] Accuracy: 0.80400 Precision: 0.42121 Recall: 0.20850 F1: 0.27893 F2: 0.23192 Total predictions: 11000 True positives: 417 False positives: 573 False negatives: 1583 True negatives: 8427 ['poi', 'to_messages', 'deferred_income', 'other'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other'] Accuracy: 0.82577 Precision: 0.30935 Recall: 0.10750 F1: 0.15955 F2: 0.12363 Total predictions: 13000 True positives: 215 False positives: 480 False negatives: 1785 True negatives: 10520 ['poi', 'to_messages', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees'] Accuracy: 0.31058 Precision: 0.19403 Recall: 0.99450 F1: 0.32471 F2: 0.54490 Total predictions: 12000 True positives: 1989 False positives: 8262 False negatives: 11 True negatives: 1738 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees'] Accuracy: 0.21973 Precision: 0.18875 Recall: 0.99800 F1: 0.31746 F2: 0.53728 Total predictions: 11000 True positives: 1996 False positives: 8579 False negatives: 4 True negatives: 421 ['poi', 'to_messages', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus'] Accuracy: 0.85758 Precision: 0.63510 Recall: 0.34200 F1: 0.44459 F2: 0.37678 Total predictions: 12000 True positives: 684 False positives: 393 False negatives: 1316 True negatives: 9607 ['poi', 'to_messages', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value'] Accuracy: 0.85164 Precision: 0.47081 Recall: 0.31050 F1: 0.37421 F2: 0.33319 Total predictions: 14000 True positives: 621 False positives: 698 False negatives: 1379 True negatives: 11302 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.81036 Precision: 0.43658 Recall: 0.14800 F1: 0.22106 F2: 0.17055 Total predictions: 11000 True positives: 296 False positives: 382 False negatives: 1704 True negatives: 8618 ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.80018 Precision: 0.37209 Recall: 0.14400 F1: 0.20764 F2: 0.16412 Total predictions: 11000 True positives: 288 False positives: 486 False negatives: 1712 True negatives: 8514 ['poi', 'to_messages', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock'] Accuracy: 0.83362 Precision: 0.42216 Recall: 0.22100 F1: 0.29012 F2: 0.24428 Total predictions: 13000 True positives: 442 False positives: 605 False negatives: 1558 True negatives: 10395 ['poi', 'to_messages', 'deferred_income', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'salary'] Accuracy: 0.85577 Precision: 0.55969 Recall: 0.29300 F1: 0.38464 F2: 0.32386 Total predictions: 13000 True positives: 586 False positives: 461 False negatives: 1414 True negatives: 10539 ['poi', 'to_messages', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_payments'] Accuracy: 0.84143 Precision: 0.35294 Recall: 0.13200 F1: 0.19214 F2: 0.15089 Total predictions: 14000 True positives: 264 False positives: 484 False negatives: 1736 True negatives: 11516 ['poi', 'to_messages', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86221 Precision: 0.52870 Recall: 0.32700 F1: 0.40408 F2: 0.35401 Total predictions: 14000 True positives: 654 False positives: 583 False negatives: 1346 True negatives: 11417 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.31242 Precision: 0.18934 Recall: 0.95250 F1: 0.31589 F2: 0.52738 Total predictions: 12000 True positives: 1905 False positives: 8156 False negatives: 95 True negatives: 1844 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.78691 Precision: 0.28660 Recall: 0.11550 F1: 0.16465 F2: 0.13116 Total predictions: 11000 True positives: 231 False positives: 575 False negatives: 1769 True negatives: 8425 ['poi', 'to_messages', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages'] Accuracy: 0.74000 Precision: 0.27697 Recall: 0.26700 F1: 0.27189 F2: 0.26894 Total predictions: 11000 True positives: 534 False positives: 1394 False negatives: 1466 True negatives: 7606 ['poi', 'to_messages', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other'] Accuracy: 0.80308 Precision: 0.11135 Recall: 0.02600 F1: 0.04216 F2: 0.03071 Total predictions: 12000 True positives: 52 False positives: 415 False negatives: 1948 True negatives: 9585 ['poi', 'to_messages', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees'] Accuracy: 0.29258 Precision: 0.18257 Recall: 0.93300 F1: 0.30538 F2: 0.51205 Total predictions: 12000 True positives: 1866 False positives: 8355 False negatives: 134 True negatives: 1645 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.21200 Precision: 0.18126 Recall: 0.94800 F1: 0.30433 F2: 0.51354 Total predictions: 11000 True positives: 1896 False positives: 8564 False negatives: 104 True negatives: 436 ['poi', 'to_messages', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus'] Accuracy: 0.81673 Precision: 0.49031 Recall: 0.20250 F1: 0.28662 F2: 0.22944 Total predictions: 11000 True positives: 405 False positives: 421 False negatives: 1595 True negatives: 8579 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84364 Precision: 0.41761 Recall: 0.23950 F1: 0.30442 F2: 0.26183 Total predictions: 14000 True positives: 479 False positives: 668 False negatives: 1521 True negatives: 11332 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.79636 Precision: 0.30707 Recall: 0.09550 F1: 0.14569 F2: 0.11076 Total predictions: 11000 True positives: 191 False positives: 431 False negatives: 1809 True negatives: 8569 ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.78609 Precision: 0.18312 Recall: 0.05100 F1: 0.07978 F2: 0.05960 Total predictions: 11000 True positives: 102 False positives: 455 False negatives: 1898 True negatives: 8545 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.81815 Precision: 0.29823 Recall: 0.13450 F1: 0.18539 F2: 0.15109 Total predictions: 13000 True positives: 269 False positives: 633 False negatives: 1731 True negatives: 10367 ['poi', 'to_messages', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'salary'] Accuracy: 0.81825 Precision: 0.37653 Recall: 0.13800 F1: 0.20198 F2: 0.15802 Total predictions: 12000 True positives: 276 False positives: 457 False negatives: 1724 True negatives: 9543 ['poi', 'to_messages', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_payments'] Accuracy: 0.83079 Precision: 0.20290 Recall: 0.06300 F1: 0.09615 F2: 0.07308 Total predictions: 14000 True positives: 126 False positives: 495 False negatives: 1874 True negatives: 11505 ['poi', 'to_messages', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83292 Precision: 0.42022 Recall: 0.22650 F1: 0.29435 F2: 0.24950 Total predictions: 13000 True positives: 453 False positives: 625 False negatives: 1547 True negatives: 10375 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.27880 Precision: 0.11387 Recall: 0.91600 F1: 0.20257 F2: 0.38027 Total predictions: 10000 True positives: 916 False positives: 7128 False negatives: 84 True negatives: 1872 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.31060 Precision: 0.11254 Recall: 0.85600 F1: 0.19893 F2: 0.36877 Total predictions: 10000 True positives: 856 False positives: 6750 False negatives: 144 True negatives: 2250 ['poi', 'to_messages', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other'] Accuracy: 0.27423 Precision: 0.16269 Recall: 0.89650 F1: 0.27540 F2: 0.47132 Total predictions: 13000 True positives: 1793 False positives: 9228 False negatives: 207 True negatives: 1772 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.37218 Precision: 0.12649 Recall: 1.00000 F1: 0.22457 F2: 0.41996 Total predictions: 11000 True positives: 1000 False positives: 6906 False negatives: 0 True negatives: 3094 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.28610 Precision: 0.12287 Recall: 1.00000 F1: 0.21884 F2: 0.41190 Total predictions: 10000 True positives: 1000 False positives: 7139 False negatives: 0 True negatives: 1861 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31467 Precision: 0.19538 Recall: 0.99800 F1: 0.32678 F2: 0.54787 Total predictions: 12000 True positives: 1996 False positives: 8220 False negatives: 4 True negatives: 1780 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26336 Precision: 0.15720 Recall: 0.95300 F1: 0.26988 F2: 0.47354 Total predictions: 14000 True positives: 1906 False positives: 10219 False negatives: 94 True negatives: 1781 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.27870 Precision: 0.11443 Recall: 0.92200 F1: 0.20360 F2: 0.38235 Total predictions: 10000 True positives: 922 False positives: 7135 False negatives: 78 True negatives: 1865 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.27320 Precision: 0.10589 Recall: 0.84200 F1: 0.18811 F2: 0.35224 Total predictions: 10000 True positives: 842 False positives: 7110 False negatives: 158 True negatives: 1890 ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.29525 Precision: 0.18351 Recall: 0.93600 F1: 0.30686 F2: 0.51426 Total predictions: 12000 True positives: 1872 False positives: 8329 False negatives: 128 True negatives: 1671 ['poi', 'to_messages', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'salary'] Accuracy: 0.29808 Precision: 0.18659 Recall: 0.95600 F1: 0.31224 F2: 0.52392 Total predictions: 12000 True positives: 1912 False positives: 8335 False negatives: 88 True negatives: 1665 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.24679 Precision: 0.14734 Recall: 0.89250 F1: 0.25292 F2: 0.44370 Total predictions: 14000 True positives: 1785 False positives: 10330 False negatives: 215 True negatives: 1670 ['poi', 'to_messages', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28000 Precision: 0.16847 Recall: 0.93500 F1: 0.28550 F2: 0.48953 Total predictions: 13000 True positives: 1870 False positives: 9230 False negatives: 130 True negatives: 1770 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.76711 Precision: 0.08295 Recall: 0.10900 F1: 0.09421 F2: 0.10256 Total predictions: 9000 True positives: 109 False positives: 1205 False negatives: 891 True negatives: 6795 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78958 Precision: 0.00190 Recall: 0.00050 F1: 0.00079 F2: 0.00059 Total predictions: 12000 True positives: 1 False positives: 526 False negatives: 1999 True negatives: 9474 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.26690 Precision: 0.11344 Recall: 0.92900 F1: 0.20220 F2: 0.38108 Total predictions: 10000 True positives: 929 False positives: 7260 False negatives: 71 True negatives: 1740 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.15244 Precision: 0.10827 Recall: 0.91600 F1: 0.19366 F2: 0.36758 Total predictions: 9000 True positives: 916 False positives: 7544 False negatives: 84 True negatives: 456 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80473 Precision: 0.42043 Recall: 0.19550 F1: 0.26689 F2: 0.21892 Total predictions: 11000 True positives: 391 False positives: 539 False negatives: 1609 True negatives: 8461 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84150 Precision: 0.40568 Recall: 0.23550 F1: 0.29801 F2: 0.25707 Total predictions: 14000 True positives: 471 False positives: 690 False negatives: 1529 True negatives: 11310 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.84122 Precision: 0.01798 Recall: 0.00800 F1: 0.01107 F2: 0.00900 Total predictions: 9000 True positives: 8 False positives: 437 False negatives: 992 True negatives: 7563 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.79208 Precision: 0.17647 Recall: 0.06750 F1: 0.09765 F2: 0.07701 Total predictions: 12000 True positives: 135 False positives: 630 False negatives: 1865 True negatives: 9370 ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.81025 Precision: 0.30683 Recall: 0.11000 F1: 0.16194 F2: 0.12619 Total predictions: 12000 True positives: 220 False positives: 497 False negatives: 1780 True negatives: 9503 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82614 Precision: 0.14887 Recall: 0.04600 F1: 0.07028 F2: 0.05338 Total predictions: 14000 True positives: 92 False positives: 526 False negatives: 1908 True negatives: 11474 ['poi', 'to_messages', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82933 Precision: 0.47727 Recall: 0.25200 F1: 0.32984 F2: 0.27827 Total predictions: 12000 True positives: 504 False positives: 552 False negatives: 1496 True negatives: 9448 ['poi', 'to_messages', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other'] Accuracy: 0.73792 Precision: 0.08303 Recall: 0.05700 F1: 0.06760 F2: 0.06081 Total predictions: 12000 True positives: 114 False positives: 1259 False negatives: 1886 True negatives: 8741 ['poi', 'to_messages', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees'] Accuracy: 0.29370 Precision: 0.11229 Recall: 0.87800 F1: 0.19912 F2: 0.37144 Total predictions: 10000 True positives: 878 False positives: 6941 False negatives: 122 True negatives: 2059 ['poi', 'to_messages', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees'] Accuracy: 0.18911 Precision: 0.10696 Recall: 0.85700 F1: 0.19019 F2: 0.35673 Total predictions: 9000 True positives: 857 False positives: 7155 False negatives: 143 True negatives: 845 ['poi', 'to_messages', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus'] Accuracy: 0.76318 Precision: 0.26200 Recall: 0.16650 F1: 0.20361 F2: 0.17959 Total predictions: 11000 True positives: 333 False positives: 938 False negatives: 1667 True negatives: 8062 ['poi', 'to_messages', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value'] Accuracy: 0.86036 Precision: 0.52121 Recall: 0.27650 F1: 0.36132 F2: 0.30515 Total predictions: 14000 True positives: 553 False positives: 508 False negatives: 1447 True negatives: 11492 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.79700 Precision: 0.08020 Recall: 0.07900 F1: 0.07960 F2: 0.07924 Total predictions: 9000 True positives: 79 False positives: 906 False negatives: 921 True negatives: 7094 ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'restricted_stock'] Accuracy: 0.79575 Precision: 0.23439 Recall: 0.09950 F1: 0.13970 F2: 0.11244 Total predictions: 12000 True positives: 199 False positives: 650 False negatives: 1801 True negatives: 9350 ['poi', 'to_messages', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'salary'] Accuracy: 0.76633 Precision: 0.21449 Recall: 0.15100 F1: 0.17723 F2: 0.16050 Total predictions: 12000 True positives: 302 False positives: 1106 False negatives: 1698 True negatives: 8894 ['poi', 'to_messages', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_payments'] Accuracy: 0.83000 Precision: 0.17128 Recall: 0.04950 F1: 0.07680 F2: 0.05771 Total predictions: 14000 True positives: 99 False positives: 479 False negatives: 1901 True negatives: 11521 ['poi', 'to_messages', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84042 Precision: 0.53825 Recall: 0.29900 F1: 0.38444 F2: 0.32817 Total predictions: 12000 True positives: 598 False positives: 513 False negatives: 1402 True negatives: 9487 ['poi', 'to_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees'] Accuracy: 0.27008 Precision: 0.16067 Recall: 0.88650 F1: 0.27204 F2: 0.46572 Total predictions: 13000 True positives: 1773 False positives: 9262 False negatives: 227 True negatives: 1738 ['poi', 'to_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees'] Accuracy: 0.18667 Precision: 0.15718 Recall: 0.88950 F1: 0.26716 F2: 0.46045 Total predictions: 12000 True positives: 1779 False positives: 9539 False negatives: 221 True negatives: 461 ['poi', 'to_messages', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus'] Accuracy: 0.79792 Precision: 0.20770 Recall: 0.07550 F1: 0.11074 F2: 0.08651 Total predictions: 12000 True positives: 151 False positives: 576 False negatives: 1849 True negatives: 9424 ['poi', 'to_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value'] Accuracy: 0.84307 Precision: 0.39188 Recall: 0.17850 F1: 0.24528 F2: 0.20031 Total predictions: 14000 True positives: 357 False positives: 554 False negatives: 1643 True negatives: 11446 ['poi', 'to_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.79325 Precision: 0.00412 Recall: 0.00100 F1: 0.00161 F2: 0.00118 Total predictions: 12000 True positives: 2 False positives: 483 False negatives: 1998 True negatives: 9517 ['poi', 'to_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.78517 Precision: 0.00344 Recall: 0.00100 F1: 0.00155 F2: 0.00117 Total predictions: 12000 True positives: 2 False positives: 580 False negatives: 1998 True negatives: 9420 ['poi', 'to_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'restricted_stock'] Accuracy: 0.81438 Precision: 0.17582 Recall: 0.05600 F1: 0.08495 F2: 0.06484 Total predictions: 13000 True positives: 112 False positives: 525 False negatives: 1888 True negatives: 10475 ['poi', 'to_messages', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'salary'] Accuracy: 0.81108 Precision: 0.19865 Recall: 0.04400 F1: 0.07204 F2: 0.05211 Total predictions: 12000 True positives: 88 False positives: 355 False negatives: 1912 True negatives: 9645 ['poi', 'to_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'total_payments'] Accuracy: 0.82264 Precision: 0.03107 Recall: 0.00800 F1: 0.01272 F2: 0.00940 Total predictions: 14000 True positives: 16 False positives: 499 False negatives: 1984 True negatives: 11501 ['poi', 'to_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'exercised_stock_options'] Accuracy: 0.84000 Precision: 0.37474 Recall: 0.17950 F1: 0.24273 F2: 0.20038 Total predictions: 14000 True positives: 359 False positives: 599 False negatives: 1641 True negatives: 11401 ['poi', 'to_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.27320 Precision: 0.12095 Recall: 1.00000 F1: 0.21580 F2: 0.40756 Total predictions: 10000 True positives: 1000 False positives: 7268 False negatives: 0 True negatives: 1732 ['poi', 'to_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus'] Accuracy: 0.29792 Precision: 0.19143 Recall: 0.99650 F1: 0.32117 F2: 0.54125 Total predictions: 12000 True positives: 1993 False positives: 8418 False negatives: 7 True negatives: 1582 ['poi', 'to_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.24600 Precision: 0.14476 Recall: 0.94850 F1: 0.25119 F2: 0.44944 Total predictions: 15000 True positives: 1897 False positives: 11207 False negatives: 103 True negatives: 1793 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.26690 Precision: 0.11392 Recall: 0.93400 F1: 0.20307 F2: 0.38282 Total predictions: 10000 True positives: 934 False positives: 7265 False negatives: 66 True negatives: 1735 ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.26410 Precision: 0.10761 Recall: 0.87200 F1: 0.19159 F2: 0.36024 Total predictions: 10000 True positives: 872 False positives: 7231 False negatives: 128 True negatives: 1769 ['poi', 'to_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.25586 Precision: 0.15398 Recall: 0.93650 F1: 0.26447 F2: 0.46444 Total predictions: 14000 True positives: 1873 False positives: 10291 False negatives: 127 True negatives: 1709 ['poi', 'to_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'salary'] Accuracy: 0.27008 Precision: 0.16653 Recall: 0.93500 F1: 0.28271 F2: 0.48624 Total predictions: 13000 True positives: 1870 False positives: 9359 False negatives: 130 True negatives: 1641 ['poi', 'to_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_payments'] Accuracy: 0.25357 Precision: 0.14868 Recall: 0.89400 F1: 0.25496 F2: 0.44642 Total predictions: 14000 True positives: 1788 False positives: 10238 False negatives: 212 True negatives: 1762 ['poi', 'to_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27377 Precision: 0.16725 Recall: 0.93500 F1: 0.28374 F2: 0.48746 Total predictions: 13000 True positives: 1870 False positives: 9311 False negatives: 130 True negatives: 1689 ['poi', 'to_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.22055 Precision: 0.18879 Recall: 0.99700 F1: 0.31747 F2: 0.53712 Total predictions: 11000 True positives: 1994 False positives: 8568 False negatives: 6 True negatives: 432 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.16807 Precision: 0.14156 Recall: 0.95250 F1: 0.24649 F2: 0.44391 Total predictions: 14000 True positives: 1905 False positives: 11552 False negatives: 95 True negatives: 448 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.15189 Precision: 0.10876 Recall: 0.92200 F1: 0.19458 F2: 0.36948 Total predictions: 9000 True positives: 922 False positives: 7555 False negatives: 78 True negatives: 445 ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.14611 Precision: 0.10128 Recall: 0.84900 F1: 0.18097 F2: 0.34281 Total predictions: 9000 True positives: 849 False positives: 7534 False negatives: 151 True negatives: 466 ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19233 Precision: 0.16369 Recall: 0.93600 F1: 0.27865 F2: 0.48158 Total predictions: 12000 True positives: 1872 False positives: 9564 False negatives: 128 True negatives: 436 ['poi', 'to_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'salary'] Accuracy: 0.19775 Precision: 0.16778 Recall: 0.96300 F1: 0.28578 F2: 0.49438 Total predictions: 12000 True positives: 1926 False positives: 9553 False negatives: 74 True negatives: 447 ['poi', 'to_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.22050 Precision: 0.13366 Recall: 0.81300 F1: 0.22958 F2: 0.40317 Total predictions: 14000 True positives: 1626 False positives: 10539 False negatives: 374 True negatives: 1461 ['poi', 'to_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.18015 Precision: 0.15195 Recall: 0.94500 F1: 0.26181 F2: 0.46237 Total predictions: 13000 True positives: 1890 False positives: 10548 False negatives: 110 True negatives: 452 ['poi', 'to_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value'] Accuracy: 0.84400 Precision: 0.41901 Recall: 0.23800 F1: 0.30357 F2: 0.26051 Total predictions: 14000 True positives: 476 False positives: 660 False negatives: 1524 True negatives: 11340 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81109 Precision: 0.44348 Recall: 0.15300 F1: 0.22751 F2: 0.17606 Total predictions: 11000 True positives: 306 False positives: 384 False negatives: 1694 True negatives: 8616 ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.80182 Precision: 0.37430 Recall: 0.13400 F1: 0.19735 F2: 0.15374 Total predictions: 11000 True positives: 268 False positives: 448 False negatives: 1732 True negatives: 8552 ['poi', 'to_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'bonus', 'restricted_stock'] Accuracy: 0.80717 Precision: 0.30947 Recall: 0.12750 F1: 0.18059 F2: 0.14449 Total predictions: 12000 True positives: 255 False positives: 569 False negatives: 1745 True negatives: 9431 ['poi', 'to_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'bonus', 'salary'] Accuracy: 0.81267 Precision: 0.34062 Recall: 0.13250 F1: 0.19078 F2: 0.15095 Total predictions: 12000 True positives: 265 False positives: 513 False negatives: 1735 True negatives: 9487 ['poi', 'to_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_payments'] Accuracy: 0.82957 Precision: 0.21701 Recall: 0.07400 F1: 0.11037 F2: 0.08523 Total predictions: 14000 True positives: 148 False positives: 534 False negatives: 1852 True negatives: 11466 ['poi', 'to_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.83492 Precision: 0.43278 Recall: 0.23500 F1: 0.30460 F2: 0.25864 Total predictions: 13000 True positives: 470 False positives: 616 False negatives: 1530 True negatives: 10384 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86686 Precision: 0.57203 Recall: 0.27000 F1: 0.36685 F2: 0.30188 Total predictions: 14000 True positives: 540 False positives: 404 False negatives: 1460 True negatives: 11596 ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86493 Precision: 0.55996 Recall: 0.25450 F1: 0.34995 F2: 0.28567 Total predictions: 14000 True positives: 509 False positives: 400 False negatives: 1491 True negatives: 11600 ['poi', 'to_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85964 Precision: 0.51717 Recall: 0.26350 F1: 0.34912 F2: 0.29216 Total predictions: 14000 True positives: 527 False positives: 492 False negatives: 1473 True negatives: 11508 ['poi', 'to_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'salary'] Accuracy: 0.85300 Precision: 0.46992 Recall: 0.22650 F1: 0.30567 F2: 0.25268 Total predictions: 14000 True positives: 453 False positives: 511 False negatives: 1547 True negatives: 11489 ['poi', 'to_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.84987 Precision: 0.36929 Recall: 0.17800 F1: 0.24022 F2: 0.19857 Total predictions: 15000 True positives: 356 False positives: 608 False negatives: 1644 True negatives: 12392 ['poi', 'to_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84557 Precision: 0.43622 Recall: 0.27700 F1: 0.33884 F2: 0.29881 Total predictions: 14000 True positives: 554 False positives: 716 False negatives: 1446 True negatives: 11284 ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81067 Precision: 0.24627 Recall: 0.06600 F1: 0.10410 F2: 0.07732 Total predictions: 12000 True positives: 132 False positives: 404 False negatives: 1868 True negatives: 9596 ['poi', 'to_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81908 Precision: 0.36320 Recall: 0.11350 F1: 0.17295 F2: 0.13159 Total predictions: 12000 True positives: 227 False positives: 398 False negatives: 1773 True negatives: 9602 ['poi', 'to_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83243 Precision: 0.10502 Recall: 0.02300 F1: 0.03774 F2: 0.02726 Total predictions: 14000 True positives: 46 False positives: 392 False negatives: 1954 True negatives: 11608 ['poi', 'to_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84075 Precision: 0.54739 Recall: 0.25700 F1: 0.34978 F2: 0.28750 Total predictions: 12000 True positives: 514 False positives: 425 False negatives: 1486 True negatives: 9575 ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80500 Precision: 0.21854 Recall: 0.06600 F1: 0.10138 F2: 0.07671 Total predictions: 12000 True positives: 132 False positives: 472 False negatives: 1868 True negatives: 9528 ['poi', 'to_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80717 Precision: 0.29178 Recall: 0.11000 F1: 0.15977 F2: 0.12566 Total predictions: 12000 True positives: 220 False positives: 534 False negatives: 1780 True negatives: 9466 ['poi', 'to_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83121 Precision: 0.09577 Recall: 0.02150 F1: 0.03512 F2: 0.02545 Total predictions: 14000 True positives: 43 False positives: 406 False negatives: 1957 True negatives: 11594 ['poi', 'to_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84333 Precision: 0.56652 Recall: 0.25550 F1: 0.35217 F2: 0.28701 Total predictions: 12000 True positives: 511 False positives: 391 False negatives: 1489 True negatives: 9609 ['poi', 'to_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'salary'] Accuracy: 0.82531 Precision: 0.31664 Recall: 0.11700 F1: 0.17087 F2: 0.13388 Total predictions: 13000 True positives: 234 False positives: 505 False negatives: 1766 True negatives: 10495 ['poi', 'to_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.83121 Precision: 0.21596 Recall: 0.06900 F1: 0.10459 F2: 0.07987 Total predictions: 14000 True positives: 138 False positives: 501 False negatives: 1862 True negatives: 11499 ['poi', 'to_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85421 Precision: 0.48128 Recall: 0.26350 F1: 0.34055 F2: 0.28972 Total predictions: 14000 True positives: 527 False positives: 568 False negatives: 1473 True negatives: 11432 ['poi', 'to_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary', 'total_payments'] Accuracy: 0.83614 Precision: 0.21401 Recall: 0.05500 F1: 0.08751 F2: 0.06460 Total predictions: 14000 True positives: 110 False positives: 404 False negatives: 1890 True negatives: 11596 ['poi', 'to_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.84715 Precision: 0.50741 Recall: 0.22250 F1: 0.30935 F2: 0.25065 Total predictions: 13000 True positives: 445 False positives: 432 False negatives: 1555 True negatives: 10568 ['poi', 'to_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85547 Precision: 0.40455 Recall: 0.17800 F1: 0.24722 F2: 0.20045 Total predictions: 15000 True positives: 356 False positives: 524 False negatives: 1644 True negatives: 12476 ['poi', 'salary_bonus', 'deferral_payments', 'expenses'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses'] Accuracy: 0.80617 Precision: 0.36045 Recall: 0.21050 F1: 0.26578 F2: 0.22960 Total predictions: 12000 True positives: 421 False positives: 747 False negatives: 1579 True negatives: 9253 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income'] Accuracy: 0.84458 Precision: 0.57158 Recall: 0.26950 F1: 0.36629 F2: 0.30135 Total predictions: 12000 True positives: 539 False positives: 404 False negatives: 1461 True negatives: 9596 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive'] Accuracy: 0.79600 Precision: 0.38969 Recall: 0.21550 F1: 0.27753 F2: 0.23666 Total predictions: 11000 True positives: 431 False positives: 675 False negatives: 1569 True negatives: 8325 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred'] Accuracy: 0.36636 Precision: 0.21554 Recall: 0.94150 F1: 0.35078 F2: 0.56256 Total predictions: 11000 True positives: 1883 False positives: 6853 False negatives: 117 True negatives: 2147 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi'] Accuracy: 0.79133 Precision: 0.30822 Recall: 0.20250 F1: 0.24442 F2: 0.21741 Total predictions: 12000 True positives: 405 False positives: 909 False negatives: 1595 True negatives: 9091 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages'] Accuracy: 0.72133 Precision: 0.19118 Recall: 0.20800 F1: 0.19923 F2: 0.20440 Total predictions: 12000 True positives: 416 False positives: 1760 False negatives: 1584 True negatives: 8240 ['poi', 'salary_bonus', 'deferral_payments', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other'] Accuracy: 0.78982 Precision: 0.24257 Recall: 0.07350 F1: 0.11282 F2: 0.08541 Total predictions: 11000 True positives: 147 False positives: 459 False negatives: 1853 True negatives: 8541 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees'] Accuracy: 0.33717 Precision: 0.19335 Recall: 0.93850 F1: 0.32064 F2: 0.52999 Total predictions: 12000 True positives: 1877 False positives: 7831 False negatives: 123 True negatives: 2169 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees'] Accuracy: 0.25155 Precision: 0.18875 Recall: 0.94500 F1: 0.31466 F2: 0.52462 Total predictions: 11000 True positives: 1890 False positives: 8123 False negatives: 110 True negatives: 877 ['poi', 'salary_bonus', 'deferral_payments', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus'] Accuracy: 0.78350 Precision: 0.41433 Recall: 0.19950 F1: 0.26932 F2: 0.22258 Total predictions: 10000 True positives: 399 False positives: 564 False negatives: 1601 True negatives: 7436 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value'] Accuracy: 0.84638 Precision: 0.50146 Recall: 0.25800 F1: 0.34071 F2: 0.28575 Total predictions: 13000 True positives: 516 False positives: 513 False negatives: 1484 True negatives: 10487 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person'] Accuracy: 0.78955 Precision: 0.36387 Recall: 0.21050 F1: 0.26671 F2: 0.22988 Total predictions: 11000 True positives: 421 False positives: 736 False negatives: 1579 True negatives: 8264 ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi'] Accuracy: 0.78800 Precision: 0.30285 Recall: 0.12750 F1: 0.17945 F2: 0.14420 Total predictions: 11000 True positives: 255 False positives: 587 False negatives: 1745 True negatives: 8413 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock'] Accuracy: 0.82038 Precision: 0.30988 Recall: 0.13650 F1: 0.18952 F2: 0.15370 Total predictions: 13000 True positives: 273 False positives: 608 False negatives: 1727 True negatives: 10392 ['poi', 'salary_bonus', 'deferral_payments', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'salary'] Accuracy: 0.79827 Precision: 0.36261 Recall: 0.14450 F1: 0.20665 F2: 0.16426 Total predictions: 11000 True positives: 289 False positives: 508 False negatives: 1711 True negatives: 8492 ['poi', 'salary_bonus', 'deferral_payments', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_payments'] Accuracy: 0.82400 Precision: 0.25839 Recall: 0.07700 F1: 0.11864 F2: 0.08958 Total predictions: 13000 True positives: 154 False positives: 442 False negatives: 1846 True negatives: 10558 ['poi', 'salary_bonus', 'deferral_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'exercised_stock_options'] Accuracy: 0.84485 Precision: 0.49229 Recall: 0.27150 F1: 0.34998 F2: 0.29825 Total predictions: 13000 True positives: 543 False positives: 560 False negatives: 1457 True negatives: 10440 ['poi', 'salary_bonus', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income'] Accuracy: 0.85667 Precision: 0.64286 Recall: 0.31500 F1: 0.42282 F2: 0.35078 Total predictions: 12000 True positives: 630 False positives: 350 False negatives: 1370 True negatives: 9650 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive'] Accuracy: 0.80827 Precision: 0.44744 Recall: 0.23200 F1: 0.30556 F2: 0.25672 Total predictions: 11000 True positives: 464 False positives: 573 False negatives: 1536 True negatives: 8427 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.31292 Precision: 0.19522 Recall: 1.00000 F1: 0.32666 F2: 0.54810 Total predictions: 12000 True positives: 2000 False positives: 8245 False negatives: 0 True negatives: 1755 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.82262 Precision: 0.37334 Recall: 0.22550 F1: 0.28117 F2: 0.24490 Total predictions: 13000 True positives: 451 False positives: 757 False negatives: 1549 True negatives: 10243 ['poi', 'salary_bonus', 'expenses', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages'] Accuracy: 0.81062 Precision: 0.31811 Recall: 0.20200 F1: 0.24709 F2: 0.21791 Total predictions: 13000 True positives: 404 False positives: 866 False negatives: 1596 True negatives: 10134 ['poi', 'salary_bonus', 'expenses', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other'] Accuracy: 0.80618 Precision: 0.38851 Recall: 0.11500 F1: 0.17747 F2: 0.13385 Total predictions: 11000 True positives: 230 False positives: 362 False negatives: 1770 True negatives: 8638 ['poi', 'salary_bonus', 'expenses', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees'] Accuracy: 0.30533 Precision: 0.19350 Recall: 1.00000 F1: 0.32425 F2: 0.54538 Total predictions: 12000 True positives: 2000 False positives: 8336 False negatives: 0 True negatives: 1664 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees'] Accuracy: 0.21864 Precision: 0.18877 Recall: 1.00000 F1: 0.31759 F2: 0.53778 Total predictions: 11000 True positives: 2000 False positives: 8595 False negatives: 0 True negatives: 405 ['poi', 'salary_bonus', 'expenses', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus'] Accuracy: 0.81573 Precision: 0.48604 Recall: 0.23500 F1: 0.31682 F2: 0.26207 Total predictions: 11000 True positives: 470 False positives: 497 False negatives: 1530 True negatives: 8503 ['poi', 'salary_bonus', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value'] Accuracy: 0.85757 Precision: 0.50248 Recall: 0.30400 F1: 0.37882 F2: 0.33008 Total predictions: 14000 True positives: 608 False positives: 602 False negatives: 1392 True negatives: 11398 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.82708 Precision: 0.46261 Recall: 0.23200 F1: 0.30902 F2: 0.25769 Total predictions: 12000 True positives: 464 False positives: 539 False negatives: 1536 True negatives: 9461 ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi'] Accuracy: 0.81900 Precision: 0.40337 Recall: 0.17950 F1: 0.24844 F2: 0.20191 Total predictions: 12000 True positives: 359 False positives: 531 False negatives: 1641 True negatives: 9469 ['poi', 'salary_bonus', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock'] Accuracy: 0.82208 Precision: 0.34047 Recall: 0.16700 F1: 0.22409 F2: 0.18595 Total predictions: 13000 True positives: 334 False positives: 647 False negatives: 1666 True negatives: 10353 ['poi', 'salary_bonus', 'expenses', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'salary'] Accuracy: 0.80391 Precision: 0.40732 Recall: 0.17250 F1: 0.24236 F2: 0.19498 Total predictions: 11000 True positives: 345 False positives: 502 False negatives: 1655 True negatives: 8498 ['poi', 'salary_bonus', 'expenses', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_payments'] Accuracy: 0.83046 Precision: 0.35950 Recall: 0.13050 F1: 0.19149 F2: 0.14955 Total predictions: 13000 True positives: 261 False positives: 465 False negatives: 1739 True negatives: 10535 ['poi', 'salary_bonus', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'exercised_stock_options'] Accuracy: 0.85471 Precision: 0.48569 Recall: 0.28850 F1: 0.36198 F2: 0.31400 Total predictions: 14000 True positives: 577 False positives: 611 False negatives: 1423 True negatives: 11389 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive'] Accuracy: 0.84036 Precision: 0.59698 Recall: 0.37550 F1: 0.46102 F2: 0.40560 Total predictions: 11000 True positives: 751 False positives: 507 False negatives: 1249 True negatives: 8493 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.34491 Precision: 0.21725 Recall: 1.00000 F1: 0.35695 F2: 0.58119 Total predictions: 11000 True positives: 2000 False positives: 7206 False negatives: 0 True negatives: 1794 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.84067 Precision: 0.53421 Recall: 0.34350 F1: 0.41814 F2: 0.36991 Total predictions: 12000 True positives: 687 False positives: 599 False negatives: 1313 True negatives: 9401 ['poi', 'salary_bonus', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages'] Accuracy: 0.85667 Precision: 0.61111 Recall: 0.38500 F1: 0.47239 F2: 0.41577 Total predictions: 12000 True positives: 770 False positives: 490 False negatives: 1230 True negatives: 9510 ['poi', 'salary_bonus', 'deferred_income', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other'] Accuracy: 0.82282 Precision: 0.52996 Recall: 0.22550 F1: 0.31638 F2: 0.25477 Total predictions: 11000 True positives: 451 False positives: 400 False negatives: 1549 True negatives: 8600 ['poi', 'salary_bonus', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees'] Accuracy: 0.35000 Precision: 0.23529 Recall: 1.00000 F1: 0.38095 F2: 0.60606 Total predictions: 10000 True positives: 2000 False positives: 6500 False negatives: 0 True negatives: 1500 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees'] Accuracy: 0.23870 Precision: 0.20805 Recall: 1.00000 F1: 0.34444 F2: 0.56776 Total predictions: 10000 True positives: 2000 False positives: 7613 False negatives: 0 True negatives: 387 ['poi', 'salary_bonus', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus'] Accuracy: 0.81510 Precision: 0.56492 Recall: 0.32850 F1: 0.41543 F2: 0.35851 Total predictions: 10000 True positives: 657 False positives: 506 False negatives: 1343 True negatives: 7494 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value'] Accuracy: 0.85821 Precision: 0.50538 Recall: 0.35250 F1: 0.41532 F2: 0.37520 Total predictions: 14000 True positives: 705 False positives: 690 False negatives: 1295 True negatives: 11310 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.85608 Precision: 0.62398 Recall: 0.34350 F1: 0.44308 F2: 0.37743 Total predictions: 12000 True positives: 687 False positives: 414 False negatives: 1313 True negatives: 9586 ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.82845 Precision: 0.54909 Recall: 0.31600 F1: 0.40114 F2: 0.34532 Total predictions: 11000 True positives: 632 False positives: 519 False negatives: 1368 True negatives: 8481 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock'] Accuracy: 0.84738 Precision: 0.50608 Recall: 0.33300 F1: 0.40169 F2: 0.35745 Total predictions: 13000 True positives: 666 False positives: 650 False negatives: 1334 True negatives: 10350 ['poi', 'salary_bonus', 'deferred_income', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'salary'] Accuracy: 0.83164 Precision: 0.57298 Recall: 0.29050 F1: 0.38553 F2: 0.32228 Total predictions: 11000 True positives: 581 False positives: 433 False negatives: 1419 True negatives: 8567 ['poi', 'salary_bonus', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_payments'] Accuracy: 0.84438 Precision: 0.48619 Recall: 0.20250 F1: 0.28592 F2: 0.22925 Total predictions: 13000 True positives: 405 False positives: 428 False negatives: 1595 True negatives: 10572 ['poi', 'salary_bonus', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86000 Precision: 0.51524 Recall: 0.33800 F1: 0.40821 F2: 0.36297 Total predictions: 14000 True positives: 676 False positives: 636 False negatives: 1324 True negatives: 11364 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.36320 Precision: 0.23901 Recall: 1.00000 F1: 0.38580 F2: 0.61095 Total predictions: 10000 True positives: 2000 False positives: 6368 False negatives: 0 True negatives: 1632 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.79527 Precision: 0.38608 Recall: 0.21350 F1: 0.27495 F2: 0.23446 Total predictions: 11000 True positives: 427 False positives: 679 False negatives: 1573 True negatives: 8321 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages'] Accuracy: 0.79882 Precision: 0.40202 Recall: 0.21850 F1: 0.28312 F2: 0.24045 Total predictions: 11000 True positives: 437 False positives: 650 False negatives: 1563 True negatives: 8350 ['poi', 'salary_bonus', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other'] Accuracy: 0.77230 Precision: 0.31309 Recall: 0.11600 F1: 0.16928 F2: 0.13271 Total predictions: 10000 True positives: 232 False positives: 509 False negatives: 1768 True negatives: 7491 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees'] Accuracy: 0.32518 Precision: 0.21225 Recall: 1.00000 F1: 0.35017 F2: 0.57395 Total predictions: 11000 True positives: 2000 False positives: 7423 False negatives: 0 True negatives: 1577 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.24480 Precision: 0.20932 Recall: 0.99950 F1: 0.34615 F2: 0.56952 Total predictions: 10000 True positives: 1999 False positives: 7551 False negatives: 1 True negatives: 449 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus'] Accuracy: 0.78011 Precision: 0.51001 Recall: 0.26750 F1: 0.35093 F2: 0.29561 Total predictions: 9000 True positives: 535 False positives: 514 False negatives: 1465 True negatives: 6486 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.83400 Precision: 0.44476 Recall: 0.31800 F1: 0.37085 F2: 0.33722 Total predictions: 13000 True positives: 636 False positives: 794 False negatives: 1364 True negatives: 10206 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.81091 Precision: 0.46078 Recall: 0.23500 F1: 0.31126 F2: 0.26053 Total predictions: 11000 True positives: 470 False positives: 550 False negatives: 1530 True negatives: 8450 ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.79645 Precision: 0.38499 Recall: 0.20000 F1: 0.26324 F2: 0.22126 Total predictions: 11000 True positives: 400 False positives: 639 False negatives: 1600 True negatives: 8361 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.81067 Precision: 0.37857 Recall: 0.21200 F1: 0.27179 F2: 0.23246 Total predictions: 12000 True positives: 424 False positives: 696 False negatives: 1576 True negatives: 9304 ['poi', 'salary_bonus', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'salary'] Accuracy: 0.77430 Precision: 0.37488 Recall: 0.19250 F1: 0.25438 F2: 0.21325 Total predictions: 10000 True positives: 385 False positives: 642 False negatives: 1615 True negatives: 7358 ['poi', 'salary_bonus', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_payments'] Accuracy: 0.82362 Precision: 0.32455 Recall: 0.13550 F1: 0.19118 F2: 0.15337 Total predictions: 13000 True positives: 271 False positives: 564 False negatives: 1729 True negatives: 10436 ['poi', 'salary_bonus', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83938 Precision: 0.46626 Recall: 0.30400 F1: 0.36804 F2: 0.32674 Total predictions: 13000 True positives: 608 False positives: 696 False negatives: 1392 True negatives: 10304 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33283 Precision: 0.19269 Recall: 0.94150 F1: 0.31991 F2: 0.52977 Total predictions: 12000 True positives: 1883 False positives: 7889 False negatives: 117 True negatives: 2111 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other'] Accuracy: 0.34009 Precision: 0.20806 Recall: 0.93700 F1: 0.34051 F2: 0.55095 Total predictions: 11000 True positives: 1874 False positives: 7133 False negatives: 126 True negatives: 1867 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.45927 Precision: 0.25164 Recall: 1.00000 F1: 0.40209 F2: 0.62704 Total predictions: 11000 True positives: 2000 False positives: 5948 False negatives: 0 True negatives: 3052 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.28662 Precision: 0.17740 Recall: 1.00000 F1: 0.30134 F2: 0.51883 Total predictions: 13000 True positives: 2000 False positives: 9274 False negatives: 0 True negatives: 1726 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.33718 Precision: 0.21526 Recall: 1.00000 F1: 0.35426 F2: 0.57834 Total predictions: 11000 True positives: 2000 False positives: 7291 False negatives: 0 True negatives: 1709 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.33455 Precision: 0.20627 Recall: 0.93400 F1: 0.33792 F2: 0.54761 Total predictions: 11000 True positives: 1868 False positives: 7188 False negatives: 132 True negatives: 1812 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.31667 Precision: 0.19560 Recall: 0.99600 F1: 0.32699 F2: 0.54773 Total predictions: 12000 True positives: 1992 False positives: 8192 False negatives: 8 True negatives: 1808 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary'] Accuracy: 0.34709 Precision: 0.21732 Recall: 0.99600 F1: 0.35680 F2: 0.58022 Total predictions: 11000 True positives: 1992 False positives: 7174 False negatives: 8 True negatives: 1826 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28800 Precision: 0.17768 Recall: 1.00000 F1: 0.30175 F2: 0.51932 Total predictions: 13000 True positives: 2000 False positives: 9256 False negatives: 0 True negatives: 1744 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.78255 Precision: 0.32562 Recall: 0.18300 F1: 0.23431 F2: 0.20057 Total predictions: 11000 True positives: 366 False positives: 758 False negatives: 1634 True negatives: 8242 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other'] Accuracy: 0.79175 Precision: 0.21808 Recall: 0.09650 F1: 0.13380 F2: 0.10861 Total predictions: 12000 True positives: 193 False positives: 692 False negatives: 1807 True negatives: 9308 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21800 Precision: 0.18864 Recall: 1.00000 F1: 0.31741 F2: 0.53758 Total predictions: 11000 True positives: 2000 False positives: 8602 False negatives: 0 True negatives: 398 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80145 Precision: 0.42190 Recall: 0.24850 F1: 0.31278 F2: 0.27076 Total predictions: 11000 True positives: 497 False positives: 681 False negatives: 1503 True negatives: 8319 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83664 Precision: 0.39772 Recall: 0.27900 F1: 0.32795 F2: 0.29671 Total predictions: 14000 True positives: 558 False positives: 845 False negatives: 1442 True negatives: 11155 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.79527 Precision: 0.37010 Recall: 0.17950 F1: 0.24175 F2: 0.20011 Total predictions: 11000 True positives: 359 False positives: 611 False negatives: 1641 True negatives: 8389 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78291 Precision: 0.29917 Recall: 0.14450 F1: 0.19488 F2: 0.16116 Total predictions: 11000 True positives: 289 False positives: 677 False negatives: 1711 True negatives: 8323 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.79075 Precision: 0.28292 Recall: 0.16650 F1: 0.20963 F2: 0.18143 Total predictions: 12000 True positives: 333 False positives: 844 False negatives: 1667 True negatives: 9156 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80217 Precision: 0.31375 Recall: 0.15750 F1: 0.20972 F2: 0.17492 Total predictions: 12000 True positives: 315 False positives: 689 False negatives: 1685 True negatives: 9311 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82550 Precision: 0.26106 Recall: 0.12100 F1: 0.16536 F2: 0.13554 Total predictions: 14000 True positives: 242 False positives: 685 False negatives: 1758 True negatives: 11315 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82723 Precision: 0.40875 Recall: 0.27550 F1: 0.32915 F2: 0.29472 Total predictions: 13000 True positives: 551 False positives: 797 False negatives: 1449 True negatives: 10203 ['poi', 'salary_bonus', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other'] Accuracy: 0.80258 Precision: 0.28817 Recall: 0.12550 F1: 0.17485 F2: 0.14147 Total predictions: 12000 True positives: 251 False positives: 620 False negatives: 1749 True negatives: 9380 ['poi', 'salary_bonus', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees'] Accuracy: 0.24536 Precision: 0.18611 Recall: 0.93400 F1: 0.31038 F2: 0.51782 Total predictions: 11000 True positives: 1868 False positives: 8169 False negatives: 132 True negatives: 831 ['poi', 'salary_bonus', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus'] Accuracy: 0.79055 Precision: 0.35874 Recall: 0.19300 F1: 0.25098 F2: 0.21265 Total predictions: 11000 True positives: 386 False positives: 690 False negatives: 1614 True negatives: 8310 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value'] Accuracy: 0.85721 Precision: 0.50040 Recall: 0.31300 F1: 0.38511 F2: 0.33834 Total predictions: 14000 True positives: 626 False positives: 625 False negatives: 1374 True negatives: 11375 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.79545 Precision: 0.38636 Recall: 0.21250 F1: 0.27419 F2: 0.23352 Total predictions: 11000 True positives: 425 False positives: 675 False negatives: 1575 True negatives: 8325 ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.76391 Precision: 0.30323 Recall: 0.23000 F1: 0.26159 F2: 0.24167 Total predictions: 11000 True positives: 460 False positives: 1057 False negatives: 1540 True negatives: 7943 ['poi', 'salary_bonus', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'restricted_stock'] Accuracy: 0.81017 Precision: 0.35903 Recall: 0.17700 F1: 0.23711 F2: 0.19697 Total predictions: 12000 True positives: 354 False positives: 632 False negatives: 1646 True negatives: 9368 ['poi', 'salary_bonus', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'salary'] Accuracy: 0.81700 Precision: 0.39135 Recall: 0.17650 F1: 0.24328 F2: 0.19827 Total predictions: 12000 True positives: 353 False positives: 549 False negatives: 1647 True negatives: 9451 ['poi', 'salary_bonus', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_payments'] Accuracy: 0.83914 Precision: 0.31844 Recall: 0.11050 F1: 0.16407 F2: 0.12710 Total predictions: 14000 True positives: 221 False positives: 473 False negatives: 1779 True negatives: 11527 ['poi', 'salary_bonus', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84808 Precision: 0.50993 Recall: 0.32100 F1: 0.39399 F2: 0.34669 Total predictions: 13000 True positives: 642 False positives: 617 False negatives: 1358 True negatives: 10383 ['poi', 'salary_bonus', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees'] Accuracy: 0.31745 Precision: 0.20098 Recall: 0.92550 F1: 0.33024 F2: 0.53777 Total predictions: 11000 True positives: 1851 False positives: 7359 False negatives: 149 True negatives: 1641 ['poi', 'salary_bonus', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees'] Accuracy: 0.23320 Precision: 0.19992 Recall: 0.94400 F1: 0.32995 F2: 0.54116 Total predictions: 10000 True positives: 1888 False positives: 7556 False negatives: 112 True negatives: 444 ['poi', 'salary_bonus', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus'] Accuracy: 0.77660 Precision: 0.34400 Recall: 0.12900 F1: 0.18764 F2: 0.14743 Total predictions: 10000 True positives: 258 False positives: 492 False negatives: 1742 True negatives: 7508 ['poi', 'salary_bonus', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value'] Accuracy: 0.84500 Precision: 0.42216 Recall: 0.23050 F1: 0.29819 F2: 0.25352 Total predictions: 14000 True positives: 461 False positives: 631 False negatives: 1539 True negatives: 11369 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person'] Accuracy: 0.80127 Precision: 0.36036 Recall: 0.12000 F1: 0.18005 F2: 0.13847 Total predictions: 11000 True positives: 240 False positives: 426 False negatives: 1760 True negatives: 8574 ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi'] Accuracy: 0.78882 Precision: 0.30281 Recall: 0.12400 F1: 0.17595 F2: 0.14061 Total predictions: 11000 True positives: 248 False positives: 571 False negatives: 1752 True negatives: 8429 ['poi', 'salary_bonus', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'restricted_stock'] Accuracy: 0.79792 Precision: 0.25989 Recall: 0.11500 F1: 0.15945 F2: 0.12943 Total predictions: 12000 True positives: 230 False positives: 655 False negatives: 1770 True negatives: 9345 ['poi', 'salary_bonus', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'salary'] Accuracy: 0.78660 Precision: 0.38368 Recall: 0.11050 F1: 0.17158 F2: 0.12885 Total predictions: 10000 True positives: 221 False positives: 355 False negatives: 1779 True negatives: 7645 ['poi', 'salary_bonus', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_payments'] Accuracy: 0.82538 Precision: 0.32095 Recall: 0.12100 F1: 0.17574 F2: 0.13822 Total predictions: 13000 True positives: 242 False positives: 512 False negatives: 1758 True negatives: 10488 ['poi', 'salary_bonus', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'exercised_stock_options'] Accuracy: 0.84392 Precision: 0.48394 Recall: 0.21850 F1: 0.30107 F2: 0.24542 Total predictions: 13000 True positives: 437 False positives: 466 False negatives: 1563 True negatives: 10534 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'salary_bonus', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value'] Accuracy: 0.26043 Precision: 0.16189 Recall: 1.00000 F1: 0.27867 F2: 0.49130 Total predictions: 14000 True positives: 2000 False positives: 10354 False negatives: 0 True negatives: 1646 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.31091 Precision: 0.20090 Recall: 0.93700 F1: 0.33086 F2: 0.54074 Total predictions: 11000 True positives: 1874 False positives: 7454 False negatives: 126 True negatives: 1546 ['poi', 'salary_bonus', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'restricted_stock'] Accuracy: 0.28008 Precision: 0.17539 Recall: 0.99400 F1: 0.29816 F2: 0.51409 Total predictions: 13000 True positives: 1988 False positives: 9347 False negatives: 12 True negatives: 1653 ['poi', 'salary_bonus', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'salary'] Accuracy: 0.32409 Precision: 0.21112 Recall: 0.99300 F1: 0.34821 F2: 0.57046 Total predictions: 11000 True positives: 1986 False positives: 7421 False negatives: 14 True negatives: 1579 ['poi', 'salary_bonus', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_payments'] Accuracy: 0.61731 Precision: 0.22601 Recall: 0.61350 F1: 0.33033 F2: 0.45685 Total predictions: 13000 True positives: 1227 False positives: 4202 False negatives: 773 True negatives: 6798 ['poi', 'salary_bonus', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'exercised_stock_options'] Accuracy: 0.26086 Precision: 0.16197 Recall: 1.00000 F1: 0.27878 F2: 0.49145 Total predictions: 14000 True positives: 2000 False positives: 10348 False negatives: 0 True negatives: 1652 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus'] Accuracy: 0.27044 Precision: 0.23348 Recall: 1.00000 F1: 0.37857 F2: 0.60365 Total predictions: 9000 True positives: 2000 False positives: 6566 False negatives: 0 True negatives: 434 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22969 Precision: 0.16151 Recall: 0.95600 F1: 0.27634 F2: 0.48190 Total predictions: 13000 True positives: 1912 False positives: 9926 False negatives: 88 True negatives: 1074 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21973 Precision: 0.18898 Recall: 1.00000 F1: 0.31789 F2: 0.53813 Total predictions: 11000 True positives: 2000 False positives: 8583 False negatives: 0 True negatives: 417 ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.22920 Precision: 0.19780 Recall: 0.93400 F1: 0.32646 F2: 0.53543 Total predictions: 10000 True positives: 1868 False positives: 7576 False negatives: 132 True negatives: 424 ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20192 Precision: 0.17219 Recall: 0.99500 F1: 0.29358 F2: 0.50877 Total predictions: 12000 True positives: 1990 False positives: 9567 False negatives: 10 True negatives: 433 ['poi', 'salary_bonus', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'salary'] Accuracy: 0.23520 Precision: 0.20577 Recall: 0.98750 F1: 0.34058 F2: 0.56114 Total predictions: 10000 True positives: 1975 False positives: 7623 False negatives: 25 True negatives: 377 ['poi', 'salary_bonus', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_payments'] Accuracy: 0.22438 Precision: 0.15066 Recall: 0.87150 F1: 0.25691 F2: 0.44535 Total predictions: 13000 True positives: 1743 False positives: 9826 False negatives: 257 True negatives: 1174 ['poi', 'salary_bonus', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22546 Precision: 0.16258 Recall: 0.97200 F1: 0.27857 F2: 0.48705 Total predictions: 13000 True positives: 1944 False positives: 10013 False negatives: 56 True negatives: 987 ['poi', 'salary_bonus', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value'] Accuracy: 0.84008 Precision: 0.47274 Recall: 0.34250 F1: 0.39722 F2: 0.36247 Total predictions: 13000 True positives: 685 False positives: 764 False negatives: 1315 True negatives: 10236 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80230 Precision: 0.51220 Recall: 0.24150 F1: 0.32824 F2: 0.27004 Total predictions: 10000 True positives: 483 False positives: 460 False negatives: 1517 True negatives: 7540 ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.77410 Precision: 0.37390 Recall: 0.19200 F1: 0.25372 F2: 0.21270 Total predictions: 10000 True positives: 384 False positives: 643 False negatives: 1616 True negatives: 7357 ['poi', 'salary_bonus', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'restricted_stock'] Accuracy: 0.80942 Precision: 0.37849 Recall: 0.22350 F1: 0.28104 F2: 0.24344 Total predictions: 12000 True positives: 447 False positives: 734 False negatives: 1553 True negatives: 9266 ['poi', 'salary_bonus', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'salary'] Accuracy: 0.78010 Precision: 0.39939 Recall: 0.19750 F1: 0.26430 F2: 0.21971 Total predictions: 10000 True positives: 395 False positives: 594 False negatives: 1605 True negatives: 7406 ['poi', 'salary_bonus', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_payments'] Accuracy: 0.82015 Precision: 0.32396 Recall: 0.15550 F1: 0.21014 F2: 0.17355 Total predictions: 13000 True positives: 311 False positives: 649 False negatives: 1689 True negatives: 10351 ['poi', 'salary_bonus', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'exercised_stock_options'] Accuracy: 0.83908 Precision: 0.46326 Recall: 0.29000 F1: 0.35670 F2: 0.31345 Total predictions: 13000 True positives: 580 False positives: 672 False negatives: 1420 True negatives: 10328 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84815 Precision: 0.51094 Recall: 0.30350 F1: 0.38080 F2: 0.33032 Total predictions: 13000 True positives: 607 False positives: 581 False negatives: 1393 True negatives: 10419 ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84746 Precision: 0.50766 Recall: 0.28150 F1: 0.36217 F2: 0.30904 Total predictions: 13000 True positives: 563 False positives: 546 False negatives: 1437 True negatives: 10454 ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84523 Precision: 0.49489 Recall: 0.29050 F1: 0.36610 F2: 0.31666 Total predictions: 13000 True positives: 581 False positives: 593 False negatives: 1419 True negatives: 10407 ['poi', 'salary_bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'salary'] Accuracy: 0.84154 Precision: 0.47627 Recall: 0.30100 F1: 0.36887 F2: 0.32491 Total predictions: 13000 True positives: 602 False positives: 662 False negatives: 1398 True negatives: 10338 ['poi', 'salary_bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.85353 Precision: 0.41150 Recall: 0.22900 F1: 0.29425 F2: 0.25129 Total predictions: 15000 True positives: 458 False positives: 655 False negatives: 1542 True negatives: 12345 ['poi', 'salary_bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84885 Precision: 0.51286 Recall: 0.34900 F1: 0.41535 F2: 0.37282 Total predictions: 13000 True positives: 698 False positives: 663 False negatives: 1302 True negatives: 10337 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78300 Precision: 0.40000 Recall: 0.17000 F1: 0.23860 F2: 0.19209 Total predictions: 10000 True positives: 340 False positives: 510 False negatives: 1660 True negatives: 7490 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80967 Precision: 0.36160 Recall: 0.18550 F1: 0.24521 F2: 0.20552 Total predictions: 12000 True positives: 371 False positives: 655 False negatives: 1629 True negatives: 9345 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80127 Precision: 0.39456 Recall: 0.17400 F1: 0.24150 F2: 0.19590 Total predictions: 11000 True positives: 348 False positives: 534 False negatives: 1652 True negatives: 8466 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83154 Precision: 0.35863 Recall: 0.12050 F1: 0.18039 F2: 0.13895 Total predictions: 13000 True positives: 241 False positives: 431 False negatives: 1759 True negatives: 10569 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84300 Precision: 0.48240 Recall: 0.28100 F1: 0.35513 F2: 0.30660 Total predictions: 13000 True positives: 562 False positives: 603 False negatives: 1438 True negatives: 10397 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80483 Precision: 0.33462 Recall: 0.17300 F1: 0.22808 F2: 0.19150 Total predictions: 12000 True positives: 346 False positives: 688 False negatives: 1654 True negatives: 9312 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78900 Precision: 0.34062 Recall: 0.17150 F1: 0.22813 F2: 0.19041 Total predictions: 11000 True positives: 343 False positives: 664 False negatives: 1657 True negatives: 8336 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83262 Precision: 0.37283 Recall: 0.12900 F1: 0.19168 F2: 0.14841 Total predictions: 13000 True positives: 258 False positives: 434 False negatives: 1742 True negatives: 10566 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84600 Precision: 0.49910 Recall: 0.27600 F1: 0.35544 F2: 0.30310 Total predictions: 13000 True positives: 552 False positives: 554 False negatives: 1448 True negatives: 10446 ['poi', 'salary_bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'salary'] Accuracy: 0.81025 Precision: 0.36408 Recall: 0.18550 F1: 0.24578 F2: 0.20568 Total predictions: 12000 True positives: 371 False positives: 648 False negatives: 1629 True negatives: 9352 ['poi', 'salary_bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82921 Precision: 0.28680 Recall: 0.13150 F1: 0.18032 F2: 0.14747 Total predictions: 14000 True positives: 263 False positives: 654 False negatives: 1737 True negatives: 11346 ['poi', 'salary_bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84223 Precision: 0.47915 Recall: 0.29300 F1: 0.36364 F2: 0.31768 Total predictions: 13000 True positives: 586 False positives: 637 False negatives: 1414 True negatives: 10363 ['poi', 'salary_bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'salary', 'total_payments'] Accuracy: 0.82992 Precision: 0.35528 Recall: 0.12950 F1: 0.18981 F2: 0.14836 Total predictions: 13000 True positives: 259 False positives: 470 False negatives: 1741 True negatives: 10530 ['poi', 'salary_bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.84323 Precision: 0.48502 Recall: 0.30750 F1: 0.37638 F2: 0.33179 Total predictions: 13000 True positives: 615 False positives: 653 False negatives: 1385 True negatives: 10347 ['poi', 'salary_bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85429 Precision: 0.47947 Recall: 0.23350 F1: 0.31406 F2: 0.26020 Total predictions: 14000 True positives: 467 False positives: 507 False negatives: 1533 True negatives: 11493 ['poi', 'deferral_payments', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income'] Accuracy: 0.81258 Precision: 0.37758 Recall: 0.19200 F1: 0.25456 F2: 0.21293 Total predictions: 12000 True positives: 384 False positives: 633 False negatives: 1616 True negatives: 9367 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive'] Accuracy: 0.80358 Precision: 0.35523 Recall: 0.21900 F1: 0.27096 F2: 0.23719 Total predictions: 12000 True positives: 438 False positives: 795 False negatives: 1562 True negatives: 9205 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.33242 Precision: 0.19209 Recall: 0.93750 F1: 0.31885 F2: 0.52784 Total predictions: 12000 True positives: 1875 False positives: 7886 False negatives: 125 True negatives: 2114 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.75946 Precision: 0.09196 Recall: 0.06350 F1: 0.07513 F2: 0.06769 Total predictions: 13000 True positives: 127 False positives: 1254 False negatives: 1873 True negatives: 9746 ['poi', 'deferral_payments', 'expenses', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages'] Accuracy: 0.68062 Precision: 0.10873 Recall: 0.14950 F1: 0.12589 F2: 0.13907 Total predictions: 13000 True positives: 299 False positives: 2451 False negatives: 1701 True negatives: 8549 ['poi', 'deferral_payments', 'expenses', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other'] Accuracy: 0.78775 Precision: 0.07199 Recall: 0.02300 F1: 0.03486 F2: 0.02662 Total predictions: 12000 True positives: 46 False positives: 593 False negatives: 1954 True negatives: 9407 ['poi', 'deferral_payments', 'expenses', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees'] Accuracy: 0.33242 Precision: 0.19241 Recall: 0.94000 F1: 0.31943 F2: 0.52895 Total predictions: 12000 True positives: 1880 False positives: 7891 False negatives: 120 True negatives: 2109 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees'] Accuracy: 0.23575 Precision: 0.17247 Recall: 0.94400 F1: 0.29165 F2: 0.49823 Total predictions: 12000 True positives: 1888 False positives: 9059 False negatives: 112 True negatives: 941 ['poi', 'deferral_payments', 'expenses', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus'] Accuracy: 0.80042 Precision: 0.34137 Recall: 0.21250 F1: 0.26194 F2: 0.22985 Total predictions: 12000 True positives: 425 False positives: 820 False negatives: 1575 True negatives: 9180 ['poi', 'deferral_payments', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value'] Accuracy: 0.87379 Precision: 0.63046 Recall: 0.28150 F1: 0.38922 F2: 0.31654 Total predictions: 14000 True positives: 563 False positives: 330 False negatives: 1437 True negatives: 11670 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.78354 Precision: 0.11164 Recall: 0.05850 F1: 0.07677 F2: 0.06466 Total predictions: 13000 True positives: 117 False positives: 931 False negatives: 1883 True negatives: 10069 ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] Accuracy: 0.77662 Precision: 0.05159 Recall: 0.02600 F1: 0.03457 F2: 0.02886 Total predictions: 13000 True positives: 52 False positives: 956 False negatives: 1948 True negatives: 10044 ['poi', 'deferral_payments', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock'] Accuracy: 0.83771 Precision: 0.33495 Recall: 0.13800 F1: 0.19547 F2: 0.15639 Total predictions: 14000 True positives: 276 False positives: 548 False negatives: 1724 True negatives: 11452 ['poi', 'deferral_payments', 'expenses', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'salary'] Accuracy: 0.79967 Precision: 0.29920 Recall: 0.15050 F1: 0.20027 F2: 0.16711 Total predictions: 12000 True positives: 301 False positives: 705 False negatives: 1699 True negatives: 9295 ['poi', 'deferral_payments', 'expenses', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_payments'] Accuracy: 0.82192 Precision: 0.09719 Recall: 0.01900 F1: 0.03179 F2: 0.02264 Total predictions: 13000 True positives: 38 False positives: 353 False negatives: 1962 True negatives: 10647 ['poi', 'deferral_payments', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'exercised_stock_options'] Accuracy: 0.86579 Precision: 0.56443 Recall: 0.26500 F1: 0.36067 F2: 0.29645 Total predictions: 14000 True positives: 530 False positives: 409 False negatives: 1470 True negatives: 11591 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive'] Accuracy: 0.80036 Precision: 0.40020 Recall: 0.19650 F1: 0.26358 F2: 0.21877 Total predictions: 11000 True positives: 393 False positives: 589 False negatives: 1607 True negatives: 8411 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.36925 Precision: 0.15525 Recall: 0.91100 F1: 0.26529 F2: 0.46159 Total predictions: 8000 True positives: 911 False positives: 4957 False negatives: 89 True negatives: 2043 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.79150 Precision: 0.28836 Recall: 0.17100 F1: 0.21469 F2: 0.18615 Total predictions: 12000 True positives: 342 False positives: 844 False negatives: 1658 True negatives: 9156 ['poi', 'deferral_payments', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages'] Accuracy: 0.72908 Precision: 0.22602 Recall: 0.25800 F1: 0.24095 F2: 0.25090 Total predictions: 12000 True positives: 516 False positives: 1767 False negatives: 1484 True negatives: 8233 ['poi', 'deferral_payments', 'deferred_income', 'other'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other'] Accuracy: 0.81425 Precision: 0.34119 Recall: 0.12300 F1: 0.18082 F2: 0.14104 Total predictions: 12000 True positives: 246 False positives: 475 False negatives: 1754 True negatives: 9525 ['poi', 'deferral_payments', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees'] Accuracy: 0.38738 Precision: 0.15954 Recall: 0.91400 F1: 0.27166 F2: 0.46973 Total predictions: 8000 True positives: 914 False positives: 4815 False negatives: 86 True negatives: 2185 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees'] Accuracy: 0.19725 Precision: 0.12586 Recall: 0.91200 F1: 0.22120 F2: 0.40548 Total predictions: 8000 True positives: 912 False positives: 6334 False negatives: 88 True negatives: 666 ['poi', 'deferral_payments', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus'] Accuracy: 0.84258 Precision: 0.55974 Recall: 0.26000 F1: 0.35507 F2: 0.29119 Total predictions: 12000 True positives: 520 False positives: 409 False negatives: 1480 True negatives: 9591 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value'] Accuracy: 0.86350 Precision: 0.53762 Recall: 0.31800 F1: 0.39962 F2: 0.34629 Total predictions: 14000 True positives: 636 False positives: 547 False negatives: 1364 True negatives: 11453 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.80383 Precision: 0.30719 Recall: 0.14100 F1: 0.19328 F2: 0.15811 Total predictions: 12000 True positives: 282 False positives: 636 False negatives: 1718 True negatives: 9364 ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.80942 Precision: 0.34038 Recall: 0.15300 F1: 0.21111 F2: 0.17193 Total predictions: 12000 True positives: 306 False positives: 593 False negatives: 1694 True negatives: 9407 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock'] Accuracy: 0.84664 Precision: 0.43163 Recall: 0.23200 F1: 0.30179 F2: 0.25565 Total predictions: 14000 True positives: 464 False positives: 611 False negatives: 1536 True negatives: 11389 ['poi', 'deferral_payments', 'deferred_income', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'salary'] Accuracy: 0.84108 Precision: 0.54519 Recall: 0.28050 F1: 0.37042 F2: 0.31067 Total predictions: 12000 True positives: 561 False positives: 468 False negatives: 1439 True negatives: 9532 ['poi', 'deferral_payments', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_payments'] Accuracy: 0.82831 Precision: 0.32583 Recall: 0.10850 F1: 0.16279 F2: 0.12520 Total predictions: 13000 True positives: 217 False positives: 449 False negatives: 1783 True negatives: 10551 ['poi', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.85823 Precision: 0.56880 Recall: 0.32450 F1: 0.41324 F2: 0.35499 Total predictions: 13000 True positives: 649 False positives: 492 False negatives: 1351 True negatives: 10508 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.40390 Precision: 0.24309 Recall: 0.93700 F1: 0.38603 F2: 0.59647 Total predictions: 10000 True positives: 1874 False positives: 5835 False negatives: 126 True negatives: 2165 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.76158 Precision: 0.20932 Recall: 0.15500 F1: 0.17811 F2: 0.16348 Total predictions: 12000 True positives: 310 False positives: 1171 False negatives: 1690 True negatives: 8829 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages'] Accuracy: 0.72767 Precision: 0.26219 Recall: 0.34950 F1: 0.29961 F2: 0.32768 Total predictions: 12000 True positives: 699 False positives: 1967 False negatives: 1301 True negatives: 8033 ['poi', 'deferral_payments', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other'] Accuracy: 0.78182 Precision: 0.20060 Recall: 0.06700 F1: 0.10045 F2: 0.07730 Total predictions: 11000 True positives: 134 False positives: 534 False negatives: 1866 True negatives: 8466 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees'] Accuracy: 0.38980 Precision: 0.23992 Recall: 0.94600 F1: 0.38276 F2: 0.59549 Total predictions: 10000 True positives: 1892 False positives: 5994 False negatives: 108 True negatives: 2006 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.30389 Precision: 0.23360 Recall: 0.93500 F1: 0.37381 F2: 0.58419 Total predictions: 9000 True positives: 1870 False positives: 6135 False negatives: 130 True negatives: 865 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus'] Accuracy: 0.79200 Precision: 0.37543 Recall: 0.21700 F1: 0.27503 F2: 0.23700 Total predictions: 11000 True positives: 434 False positives: 722 False negatives: 1566 True negatives: 8278 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84946 Precision: 0.52007 Recall: 0.27850 F1: 0.36275 F2: 0.30702 Total predictions: 13000 True positives: 557 False positives: 514 False negatives: 1443 True negatives: 10486 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.75064 Precision: 0.23783 Recall: 0.16850 F1: 0.19725 F2: 0.17893 Total predictions: 11000 True positives: 337 False positives: 1080 False negatives: 1663 True negatives: 7920 ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.76873 Precision: 0.17619 Recall: 0.07400 F1: 0.10423 F2: 0.08371 Total predictions: 11000 True positives: 148 False positives: 692 False negatives: 1852 True negatives: 8308 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.81215 Precision: 0.26288 Recall: 0.12250 F1: 0.16712 F2: 0.13715 Total predictions: 13000 True positives: 245 False positives: 687 False negatives: 1755 True negatives: 10313 ['poi', 'deferral_payments', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'salary'] Accuracy: 0.79355 Precision: 0.37009 Recall: 0.19300 F1: 0.25370 F2: 0.21342 Total predictions: 11000 True positives: 386 False positives: 657 False negatives: 1614 True negatives: 8343 ['poi', 'deferral_payments', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_payments'] Accuracy: 0.82031 Precision: 0.22903 Recall: 0.07100 F1: 0.10840 F2: 0.08237 Total predictions: 13000 True positives: 142 False positives: 478 False negatives: 1858 True negatives: 10522 ['poi', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83225 Precision: 0.49403 Recall: 0.26900 F1: 0.34833 F2: 0.29596 Total predictions: 12000 True positives: 538 False positives: 551 False negatives: 1462 True negatives: 9449 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.33836 Precision: 0.20801 Recall: 0.94000 F1: 0.34064 F2: 0.55171 Total predictions: 11000 True positives: 1880 False positives: 7158 False negatives: 120 True negatives: 1842 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.35936 Precision: 0.20378 Recall: 0.86800 F1: 0.33007 F2: 0.52546 Total predictions: 11000 True positives: 1736 False positives: 6783 False negatives: 264 True negatives: 2217 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other'] Accuracy: 0.33418 Precision: 0.19791 Recall: 0.87200 F1: 0.32260 F2: 0.51868 Total predictions: 11000 True positives: 1744 False positives: 7068 False negatives: 256 True negatives: 1932 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.60350 Precision: 0.26886 Recall: 0.80200 F1: 0.40271 F2: 0.57425 Total predictions: 6000 True positives: 802 False positives: 2181 False negatives: 198 True negatives: 2819 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.51320 Precision: 0.26584 Recall: 0.81400 F1: 0.40079 F2: 0.57632 Total predictions: 5000 True positives: 814 False positives: 2248 False negatives: 186 True negatives: 1752 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.36636 Precision: 0.21554 Recall: 0.94150 F1: 0.35078 F2: 0.56256 Total predictions: 11000 True positives: 1883 False positives: 6853 False negatives: 117 True negatives: 2147 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.29700 Precision: 0.17219 Recall: 0.93750 F1: 0.29095 F2: 0.49632 Total predictions: 13000 True positives: 1875 False positives: 9014 False negatives: 125 True negatives: 1986 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.34918 Precision: 0.20916 Recall: 0.92750 F1: 0.34134 F2: 0.54983 Total predictions: 11000 True positives: 1855 False positives: 7014 False negatives: 145 True negatives: 1986 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.36720 Precision: 0.22214 Recall: 0.86500 F1: 0.35349 F2: 0.54788 Total predictions: 10000 True positives: 1730 False positives: 6058 False negatives: 270 True negatives: 1942 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.31731 Precision: 0.17708 Recall: 0.94250 F1: 0.29814 F2: 0.50550 Total predictions: 13000 True positives: 1885 False positives: 8760 False negatives: 115 True negatives: 2240 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary'] Accuracy: 0.33817 Precision: 0.19453 Recall: 0.94600 F1: 0.32270 F2: 0.53368 Total predictions: 12000 True positives: 1892 False positives: 7834 False negatives: 108 True negatives: 2166 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.29138 Precision: 0.16531 Recall: 0.89050 F1: 0.27885 F2: 0.47433 Total predictions: 13000 True positives: 1781 False positives: 8993 False negatives: 219 True negatives: 2007 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26500 Precision: 0.10273 Recall: 0.91600 F1: 0.18473 F2: 0.35457 Total predictions: 11000 True positives: 916 False positives: 8001 False negatives: 84 True negatives: 1999 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.66391 Precision: 0.17378 Recall: 0.22600 F1: 0.19648 F2: 0.21319 Total predictions: 11000 True positives: 452 False positives: 2149 False negatives: 1548 True negatives: 6851 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other'] Accuracy: 0.76667 Precision: 0.05357 Recall: 0.02400 F1: 0.03315 F2: 0.02698 Total predictions: 12000 True positives: 48 False positives: 848 False negatives: 1952 True negatives: 9152 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.33192 Precision: 0.19077 Recall: 0.92800 F1: 0.31648 F2: 0.52344 Total predictions: 12000 True positives: 1856 False positives: 7873 False negatives: 144 True negatives: 2127 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.23255 Precision: 0.18347 Recall: 0.93350 F1: 0.30667 F2: 0.51359 Total predictions: 11000 True positives: 1867 False positives: 8309 False negatives: 133 True negatives: 691 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.78892 Precision: 0.30156 Recall: 0.20250 F1: 0.24230 F2: 0.21674 Total predictions: 12000 True positives: 405 False positives: 938 False negatives: 1595 True negatives: 9062 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84093 Precision: 0.41167 Recall: 0.26450 F1: 0.32207 F2: 0.28487 Total predictions: 14000 True positives: 529 False positives: 756 False negatives: 1471 True negatives: 11244 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.72655 Precision: 0.08000 Recall: 0.04800 F1: 0.06000 F2: 0.05217 Total predictions: 11000 True positives: 96 False positives: 1104 False negatives: 1904 True negatives: 7896 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.73791 Precision: 0.08152 Recall: 0.04300 F1: 0.05630 F2: 0.04749 Total predictions: 11000 True positives: 86 False positives: 969 False negatives: 1914 True negatives: 8031 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.78446 Precision: 0.16415 Recall: 0.09800 F1: 0.12273 F2: 0.10659 Total predictions: 13000 True positives: 196 False positives: 998 False negatives: 1804 True negatives: 10002 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.76750 Precision: 0.20121 Recall: 0.13300 F1: 0.16014 F2: 0.14267 Total predictions: 12000 True positives: 266 False positives: 1056 False negatives: 1734 True negatives: 8944 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82357 Precision: 0.15942 Recall: 0.05500 F1: 0.08178 F2: 0.06329 Total predictions: 14000 True positives: 110 False positives: 580 False negatives: 1890 True negatives: 11420 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.83923 Precision: 0.46305 Recall: 0.28200 F1: 0.35053 F2: 0.30592 Total predictions: 13000 True positives: 564 False positives: 654 False negatives: 1436 True negatives: 10346 ['poi', 'deferral_payments', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other'] Accuracy: 0.66425 Precision: 0.09566 Recall: 0.12000 F1: 0.10645 F2: 0.11419 Total predictions: 12000 True positives: 240 False positives: 2269 False negatives: 1760 True negatives: 7731 ['poi', 'deferral_payments', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees'] Accuracy: 0.35342 Precision: 0.18588 Recall: 0.85200 F1: 0.30518 F2: 0.49630 Total predictions: 12000 True positives: 1704 False positives: 7463 False negatives: 296 True negatives: 2537 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees'] Accuracy: 0.25818 Precision: 0.18103 Recall: 0.87400 F1: 0.29993 F2: 0.49502 Total predictions: 11000 True positives: 1748 False positives: 7908 False negatives: 252 True negatives: 1092 ['poi', 'deferral_payments', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus'] Accuracy: 0.71842 Precision: 0.18787 Recall: 0.20750 F1: 0.19720 F2: 0.20325 Total predictions: 12000 True positives: 415 False positives: 1794 False negatives: 1585 True negatives: 8206 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value'] Accuracy: 0.85064 Precision: 0.46040 Recall: 0.26450 F1: 0.33598 F2: 0.28910 Total predictions: 14000 True positives: 529 False positives: 620 False negatives: 1471 True negatives: 11380 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.67182 Precision: 0.14537 Recall: 0.16500 F1: 0.15457 F2: 0.16066 Total predictions: 11000 True positives: 330 False positives: 1940 False negatives: 1670 True negatives: 7060 ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.67864 Precision: 0.11335 Recall: 0.11250 F1: 0.11292 F2: 0.11267 Total predictions: 11000 True positives: 225 False positives: 1760 False negatives: 1775 True negatives: 7240 ['poi', 'deferral_payments', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'restricted_stock'] Accuracy: 0.72515 Precision: 0.14524 Recall: 0.16100 F1: 0.15272 F2: 0.15758 Total predictions: 13000 True positives: 322 False positives: 1895 False negatives: 1678 True negatives: 9105 ['poi', 'deferral_payments', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'salary'] Accuracy: 0.71217 Precision: 0.20614 Recall: 0.25500 F1: 0.22798 F2: 0.24346 Total predictions: 12000 True positives: 510 False positives: 1964 False negatives: 1490 True negatives: 8036 ['poi', 'deferral_payments', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_payments'] Accuracy: 0.82643 Precision: 0.16821 Recall: 0.05450 F1: 0.08233 F2: 0.06302 Total predictions: 14000 True positives: 109 False positives: 539 False negatives: 1891 True negatives: 11461 ['poi', 'deferral_payments', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84685 Precision: 0.50335 Recall: 0.33850 F1: 0.40478 F2: 0.36223 Total predictions: 13000 True positives: 677 False positives: 668 False negatives: 1323 True negatives: 10332 ['poi', 'deferral_payments', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees'] Accuracy: 0.32067 Precision: 0.18118 Recall: 0.87400 F1: 0.30014 F2: 0.49524 Total predictions: 12000 True positives: 1748 False positives: 7900 False negatives: 252 True negatives: 2100 ['poi', 'deferral_payments', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees'] Accuracy: 0.24400 Precision: 0.18043 Recall: 0.89150 F1: 0.30012 F2: 0.49855 Total predictions: 11000 True positives: 1783 False positives: 8099 False negatives: 217 True negatives: 901 ['poi', 'deferral_payments', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus'] Accuracy: 0.78873 Precision: 0.23616 Recall: 0.07250 F1: 0.11094 F2: 0.08417 Total predictions: 11000 True positives: 145 False positives: 469 False negatives: 1855 True negatives: 8531 ['poi', 'deferral_payments', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value'] Accuracy: 0.83662 Precision: 0.42874 Recall: 0.18650 F1: 0.25993 F2: 0.21026 Total predictions: 13000 True positives: 373 False positives: 497 False negatives: 1627 True negatives: 10503 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person'] Accuracy: 0.78258 Precision: 0.03933 Recall: 0.01300 F1: 0.01954 F2: 0.01501 Total predictions: 12000 True positives: 26 False positives: 635 False negatives: 1974 True negatives: 9365 ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi'] Accuracy: 0.77958 Precision: 0.01649 Recall: 0.00550 F1: 0.00825 F2: 0.00635 Total predictions: 12000 True positives: 11 False positives: 656 False negatives: 1989 True negatives: 9344 ['poi', 'deferral_payments', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'restricted_stock'] Accuracy: 0.80838 Precision: 0.16599 Recall: 0.06100 F1: 0.08921 F2: 0.06983 Total predictions: 13000 True positives: 122 False positives: 613 False negatives: 1878 True negatives: 10387 ['poi', 'deferral_payments', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'salary'] Accuracy: 0.78836 Precision: 0.22937 Recall: 0.06950 F1: 0.10668 F2: 0.08076 Total predictions: 11000 True positives: 139 False positives: 467 False negatives: 1861 True negatives: 8533 ['poi', 'deferral_payments', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_payments'] Accuracy: 0.80662 Precision: 0.02407 Recall: 0.00650 F1: 0.01024 F2: 0.00761 Total predictions: 13000 True positives: 13 False positives: 527 False negatives: 1987 True negatives: 10473 ['poi', 'deferral_payments', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'exercised_stock_options'] Accuracy: 0.82069 Precision: 0.33979 Recall: 0.17550 F1: 0.23145 F2: 0.19429 Total predictions: 13000 True positives: 351 False positives: 682 False negatives: 1649 True negatives: 10318 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees'] Accuracy: 0.46450 Precision: 0.21026 Recall: 0.80300 F1: 0.33326 F2: 0.51349 Total predictions: 6000 True positives: 803 False positives: 3016 False negatives: 197 True negatives: 1984 ['poi', 'deferral_payments', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus'] Accuracy: 0.33658 Precision: 0.19321 Recall: 0.93850 F1: 0.32044 F2: 0.52978 Total predictions: 12000 True positives: 1877 False positives: 7838 False negatives: 123 True negatives: 2162 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value'] Accuracy: 0.29850 Precision: 0.16198 Recall: 0.93700 F1: 0.27622 F2: 0.47882 Total predictions: 14000 True positives: 1874 False positives: 9695 False negatives: 126 True negatives: 2305 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.35364 Precision: 0.21058 Recall: 0.92950 F1: 0.34337 F2: 0.55235 Total predictions: 11000 True positives: 1859 False positives: 6969 False negatives: 141 True negatives: 2031 ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.35973 Precision: 0.20471 Recall: 0.87400 F1: 0.33172 F2: 0.52845 Total predictions: 11000 True positives: 1748 False positives: 6791 False negatives: 252 True negatives: 2209 ['poi', 'deferral_payments', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'restricted_stock'] Accuracy: 0.29379 Precision: 0.16060 Recall: 0.93300 F1: 0.27403 F2: 0.47556 Total predictions: 14000 True positives: 1866 False positives: 9753 False negatives: 134 True negatives: 2247 ['poi', 'deferral_payments', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'salary'] Accuracy: 0.31492 Precision: 0.17620 Recall: 0.93950 F1: 0.29675 F2: 0.50338 Total predictions: 13000 True positives: 1879 False positives: 8785 False negatives: 121 True negatives: 2215 ['poi', 'deferral_payments', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_payments'] Accuracy: 0.31477 Precision: 0.16998 Recall: 0.88950 F1: 0.28542 F2: 0.48170 Total predictions: 13000 True positives: 1779 False positives: 8687 False negatives: 221 True negatives: 2313 ['poi', 'deferral_payments', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'exercised_stock_options'] Accuracy: 0.26433 Precision: 0.09466 Recall: 0.91400 F1: 0.17155 F2: 0.33465 Total predictions: 12000 True positives: 914 False positives: 8742 False negatives: 86 True negatives: 2258 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus'] Accuracy: 0.25173 Precision: 0.18879 Recall: 0.94500 F1: 0.31471 F2: 0.52468 Total predictions: 11000 True positives: 1890 False positives: 8121 False negatives: 110 True negatives: 879 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21954 Precision: 0.15819 Recall: 0.94250 F1: 0.27091 F2: 0.47324 Total predictions: 13000 True positives: 1885 False positives: 10031 False negatives: 115 True negatives: 969 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.25750 Precision: 0.20404 Recall: 0.93500 F1: 0.33498 F2: 0.54471 Total predictions: 10000 True positives: 1870 False positives: 7295 False negatives: 130 True negatives: 705 ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.25680 Precision: 0.19401 Recall: 0.86100 F1: 0.31666 F2: 0.51019 Total predictions: 10000 True positives: 1722 False positives: 7154 False negatives: 278 True negatives: 846 ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21831 Precision: 0.15775 Recall: 0.94050 F1: 0.27018 F2: 0.47204 Total predictions: 13000 True positives: 1881 False positives: 10043 False negatives: 119 True negatives: 957 ['poi', 'deferral_payments', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'salary'] Accuracy: 0.24755 Precision: 0.18700 Recall: 0.93750 F1: 0.31180 F2: 0.52005 Total predictions: 11000 True positives: 1875 False positives: 8152 False negatives: 125 True negatives: 848 ['poi', 'deferral_payments', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_payments'] Accuracy: 0.23054 Precision: 0.14635 Recall: 0.82800 F1: 0.24874 F2: 0.42868 Total predictions: 13000 True positives: 1656 False positives: 9659 False negatives: 344 True negatives: 1341 ['poi', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.15564 Precision: 0.09188 Recall: 0.93300 F1: 0.16729 F2: 0.32959 Total predictions: 11000 True positives: 933 False positives: 9221 False negatives: 67 True negatives: 779 ['poi', 'deferral_payments', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value'] Accuracy: 0.84869 Precision: 0.51642 Recall: 0.25950 F1: 0.34542 F2: 0.28817 Total predictions: 13000 True positives: 519 False positives: 486 False negatives: 1481 True negatives: 10514 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.78545 Precision: 0.35099 Recall: 0.21200 F1: 0.26434 F2: 0.23023 Total predictions: 11000 True positives: 424 False positives: 784 False negatives: 1576 True negatives: 8216 ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78973 Precision: 0.30984 Recall: 0.12750 F1: 0.18066 F2: 0.14451 Total predictions: 11000 True positives: 255 False positives: 568 False negatives: 1745 True negatives: 8432 ['poi', 'deferral_payments', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'restricted_stock'] Accuracy: 0.81800 Precision: 0.30065 Recall: 0.13800 F1: 0.18917 F2: 0.15474 Total predictions: 13000 True positives: 276 False positives: 642 False negatives: 1724 True negatives: 10358 ['poi', 'deferral_payments', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'salary'] Accuracy: 0.79609 Precision: 0.35789 Recall: 0.15300 F1: 0.21436 F2: 0.17278 Total predictions: 11000 True positives: 306 False positives: 549 False negatives: 1694 True negatives: 8451 ['poi', 'deferral_payments', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_payments'] Accuracy: 0.82292 Precision: 0.25246 Recall: 0.07700 F1: 0.11801 F2: 0.08943 Total predictions: 13000 True positives: 154 False positives: 456 False negatives: 1846 True negatives: 10544 ['poi', 'deferral_payments', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'exercised_stock_options'] Accuracy: 0.84438 Precision: 0.48972 Recall: 0.27400 F1: 0.35139 F2: 0.30047 Total predictions: 13000 True positives: 548 False positives: 571 False negatives: 1452 True negatives: 10429 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86462 Precision: 0.64493 Recall: 0.26700 F1: 0.37765 F2: 0.30245 Total predictions: 13000 True positives: 534 False positives: 294 False negatives: 1466 True negatives: 10706 ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86500 Precision: 0.64885 Recall: 0.26700 F1: 0.37832 F2: 0.30262 Total predictions: 13000 True positives: 534 False positives: 289 False negatives: 1466 True negatives: 10711 ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86746 Precision: 0.65865 Recall: 0.28750 F1: 0.40028 F2: 0.32402 Total predictions: 13000 True positives: 575 False positives: 298 False negatives: 1425 True negatives: 10702 ['poi', 'deferral_payments', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'salary'] Accuracy: 0.85115 Precision: 0.53234 Recall: 0.26750 F1: 0.35607 F2: 0.29706 Total predictions: 13000 True positives: 535 False positives: 470 False negatives: 1465 True negatives: 10530 ['poi', 'deferral_payments', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'total_payments'] Accuracy: 0.85307 Precision: 0.39172 Recall: 0.18450 F1: 0.25085 F2: 0.20633 Total predictions: 15000 True positives: 369 False positives: 573 False negatives: 1631 True negatives: 12427 ['poi', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84692 Precision: 0.50462 Recall: 0.27300 F1: 0.35432 F2: 0.30059 Total predictions: 13000 True positives: 546 False positives: 536 False negatives: 1454 True negatives: 10464 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.73050 Precision: 0.08778 Recall: 0.03700 F1: 0.05206 F2: 0.04184 Total predictions: 10000 True positives: 74 False positives: 769 False negatives: 1926 True negatives: 7231 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81054 Precision: 0.23050 Recall: 0.09900 F1: 0.13851 F2: 0.11175 Total predictions: 13000 True positives: 198 False positives: 661 False negatives: 1802 True negatives: 10339 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary'] Accuracy: 0.76883 Precision: 0.20231 Recall: 0.13150 F1: 0.15939 F2: 0.14140 Total predictions: 12000 True positives: 263 False positives: 1037 False negatives: 1737 True negatives: 8963 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82123 Precision: 0.10870 Recall: 0.02250 F1: 0.03728 F2: 0.02674 Total predictions: 13000 True positives: 45 False positives: 369 False negatives: 1955 True negatives: 10631 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86100 Precision: 0.58861 Recall: 0.32050 F1: 0.41502 F2: 0.35262 Total predictions: 13000 True positives: 641 False positives: 448 False negatives: 1359 True negatives: 10552 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80785 Precision: 0.19183 Recall: 0.07750 F1: 0.11040 F2: 0.08799 Total predictions: 13000 True positives: 155 False positives: 653 False negatives: 1845 True negatives: 10347 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79775 Precision: 0.24971 Recall: 0.10650 F1: 0.14932 F2: 0.12030 Total predictions: 12000 True positives: 213 False positives: 640 False negatives: 1787 True negatives: 9360 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82554 Precision: 0.13388 Recall: 0.02450 F1: 0.04142 F2: 0.02929 Total predictions: 13000 True positives: 49 False positives: 317 False negatives: 1951 True negatives: 10683 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85550 Precision: 0.64030 Recall: 0.30350 F1: 0.41180 F2: 0.33918 Total predictions: 12000 True positives: 607 False positives: 341 False negatives: 1393 True negatives: 9659 ['poi', 'deferral_payments', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'salary'] Accuracy: 0.82408 Precision: 0.32174 Recall: 0.12950 F1: 0.18467 F2: 0.14708 Total predictions: 13000 True positives: 259 False positives: 546 False negatives: 1741 True negatives: 10454 ['poi', 'deferral_payments', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'total_payments'] Accuracy: 0.82764 Precision: 0.19677 Recall: 0.06700 F1: 0.09996 F2: 0.07718 Total predictions: 14000 True positives: 134 False positives: 547 False negatives: 1866 True negatives: 11453 ['poi', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85362 Precision: 0.54606 Recall: 0.28750 F1: 0.37668 F2: 0.31757 Total predictions: 13000 True positives: 575 False positives: 478 False negatives: 1425 True negatives: 10522 ['poi', 'deferral_payments', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'salary', 'total_payments'] Accuracy: 0.82300 Precision: 0.22385 Recall: 0.06100 F1: 0.09587 F2: 0.07139 Total predictions: 13000 True positives: 122 False positives: 423 False negatives: 1878 True negatives: 10577 ['poi', 'deferral_payments', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'salary', 'exercised_stock_options'] Accuracy: 0.84462 Precision: 0.48990 Recall: 0.24250 F1: 0.32441 F2: 0.26974 Total predictions: 13000 True positives: 485 False positives: 505 False negatives: 1515 True negatives: 10495 ['poi', 'deferral_payments', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84671 Precision: 0.41723 Recall: 0.18400 F1: 0.25538 F2: 0.20716 Total predictions: 14000 True positives: 368 False positives: 514 False negatives: 1632 True negatives: 11486 ['poi', 'expenses', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive'] Accuracy: 0.83325 Precision: 0.49949 Recall: 0.24500 F1: 0.32875 F2: 0.27280 Total predictions: 12000 True positives: 490 False positives: 491 False negatives: 1510 True negatives: 9509 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.32208 Precision: 0.19734 Recall: 1.00000 F1: 0.32963 F2: 0.55142 Total predictions: 12000 True positives: 2000 False positives: 8135 False negatives: 0 True negatives: 1865 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.82285 Precision: 0.33406 Recall: 0.15250 F1: 0.20941 F2: 0.17110 Total predictions: 13000 True positives: 305 False positives: 608 False negatives: 1695 True negatives: 10392 ['poi', 'expenses', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages'] Accuracy: 0.82200 Precision: 0.36466 Recall: 0.21150 F1: 0.26772 F2: 0.23090 Total predictions: 13000 True positives: 423 False positives: 737 False negatives: 1577 True negatives: 10263 ['poi', 'expenses', 'deferred_income', 'other'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other'] Accuracy: 0.83700 Precision: 0.53188 Recall: 0.18350 F1: 0.27286 F2: 0.21116 Total predictions: 12000 True positives: 367 False positives: 323 False negatives: 1633 True negatives: 9677 ['poi', 'expenses', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees'] Accuracy: 0.33255 Precision: 0.21409 Recall: 1.00000 F1: 0.35267 F2: 0.57663 Total predictions: 11000 True positives: 2000 False positives: 7342 False negatives: 0 True negatives: 1658 ['poi', 'expenses', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees'] Accuracy: 0.22091 Precision: 0.18921 Recall: 1.00000 F1: 0.31822 F2: 0.53850 Total predictions: 11000 True positives: 2000 False positives: 8570 False negatives: 0 True negatives: 430 ['poi', 'expenses', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus'] Accuracy: 0.85600 Precision: 0.63793 Recall: 0.31450 F1: 0.42130 F2: 0.34999 Total predictions: 12000 True positives: 629 False positives: 357 False negatives: 1371 True negatives: 9643 ['poi', 'expenses', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value'] Accuracy: 0.86393 Precision: 0.53485 Recall: 0.36450 F1: 0.43354 F2: 0.38930 Total predictions: 14000 True positives: 729 False positives: 634 False negatives: 1271 True negatives: 11366 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.83200 Precision: 0.49010 Recall: 0.19800 F1: 0.28205 F2: 0.22480 Total predictions: 12000 True positives: 396 False positives: 412 False negatives: 1604 True negatives: 9588 ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.81617 Precision: 0.37679 Recall: 0.15750 F1: 0.22214 F2: 0.17825 Total predictions: 12000 True positives: 315 False positives: 521 False negatives: 1685 True negatives: 9479 ['poi', 'expenses', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock'] Accuracy: 0.84015 Precision: 0.46375 Recall: 0.24950 F1: 0.32445 F2: 0.27490 Total predictions: 13000 True positives: 499 False positives: 577 False negatives: 1501 True negatives: 10423 ['poi', 'expenses', 'deferred_income', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'salary'] Accuracy: 0.85267 Precision: 0.60565 Recall: 0.33250 F1: 0.42931 F2: 0.36546 Total predictions: 12000 True positives: 665 False positives: 433 False negatives: 1335 True negatives: 9567 ['poi', 'expenses', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_payments'] Accuracy: 0.83862 Precision: 0.43156 Recall: 0.15450 F1: 0.22754 F2: 0.17726 Total predictions: 13000 True positives: 309 False positives: 407 False negatives: 1691 True negatives: 10593 ['poi', 'expenses', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86871 Precision: 0.56221 Recall: 0.36600 F1: 0.44337 F2: 0.39346 Total predictions: 14000 True positives: 732 False positives: 570 False negatives: 1268 True negatives: 11430 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.31508 Precision: 0.19571 Recall: 1.00000 F1: 0.32736 F2: 0.54888 Total predictions: 12000 True positives: 2000 False positives: 8219 False negatives: 0 True negatives: 1781 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.80885 Precision: 0.26927 Recall: 0.14150 F1: 0.18551 F2: 0.15634 Total predictions: 13000 True positives: 283 False positives: 768 False negatives: 1717 True negatives: 10232 ['poi', 'expenses', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages'] Accuracy: 0.81323 Precision: 0.36473 Recall: 0.28850 F1: 0.32217 F2: 0.30109 Total predictions: 13000 True positives: 577 False positives: 1005 False negatives: 1423 True negatives: 9995 ['poi', 'expenses', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other'] Accuracy: 0.78964 Precision: 0.09115 Recall: 0.01750 F1: 0.02936 F2: 0.02087 Total predictions: 11000 True positives: 35 False positives: 349 False negatives: 1965 True negatives: 8651 ['poi', 'expenses', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees'] Accuracy: 0.30183 Precision: 0.19272 Recall: 1.00000 F1: 0.32315 F2: 0.54413 Total predictions: 12000 True positives: 2000 False positives: 8378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20175 Precision: 0.17273 Recall: 1.00000 F1: 0.29457 F2: 0.51075 Total predictions: 12000 True positives: 2000 False positives: 9579 False negatives: 0 True negatives: 421 ['poi', 'expenses', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus'] Accuracy: 0.81873 Precision: 0.50325 Recall: 0.23200 F1: 0.31759 F2: 0.26003 Total predictions: 11000 True positives: 464 False positives: 458 False negatives: 1536 True negatives: 8542 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.85150 Precision: 0.46644 Recall: 0.27450 F1: 0.34561 F2: 0.29912 Total predictions: 14000 True positives: 549 False positives: 628 False negatives: 1451 True negatives: 11372 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.80975 Precision: 0.28849 Recall: 0.09650 F1: 0.14462 F2: 0.11132 Total predictions: 12000 True positives: 193 False positives: 476 False negatives: 1807 True negatives: 9524 ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.80108 Precision: 0.19718 Recall: 0.06300 F1: 0.09549 F2: 0.07293 Total predictions: 12000 True positives: 126 False positives: 513 False negatives: 1874 True negatives: 9487 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.81823 Precision: 0.27947 Recall: 0.11500 F1: 0.16295 F2: 0.13034 Total predictions: 13000 True positives: 230 False positives: 593 False negatives: 1770 True negatives: 10407 ['poi', 'expenses', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'salary'] Accuracy: 0.80236 Precision: 0.37318 Recall: 0.12800 F1: 0.19062 F2: 0.14736 Total predictions: 11000 True positives: 256 False positives: 430 False negatives: 1744 True negatives: 8570 ['poi', 'expenses', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_payments'] Accuracy: 0.82177 Precision: 0.22144 Recall: 0.06300 F1: 0.09809 F2: 0.07352 Total predictions: 13000 True positives: 126 False positives: 443 False negatives: 1874 True negatives: 10557 ['poi', 'expenses', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.84986 Precision: 0.45693 Recall: 0.27050 F1: 0.33982 F2: 0.29453 Total predictions: 14000 True positives: 541 False positives: 643 False negatives: 1459 True negatives: 11357 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.28077 Precision: 0.17621 Recall: 1.00000 F1: 0.29963 F2: 0.51680 Total predictions: 13000 True positives: 2000 False positives: 9350 False negatives: 0 True negatives: 1650 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.29977 Precision: 0.17337 Recall: 0.94250 F1: 0.29286 F2: 0.49939 Total predictions: 13000 True positives: 1885 False positives: 8988 False negatives: 115 True negatives: 2012 ['poi', 'expenses', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other'] Accuracy: 0.30233 Precision: 0.18530 Recall: 0.93800 F1: 0.30947 F2: 0.51755 Total predictions: 12000 True positives: 1876 False positives: 8248 False negatives: 124 True negatives: 1752 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.44100 Precision: 0.24543 Recall: 1.00000 F1: 0.39413 F2: 0.61923 Total predictions: 11000 True positives: 2000 False positives: 6149 False negatives: 0 True negatives: 2851 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.35245 Precision: 0.21923 Recall: 1.00000 F1: 0.35962 F2: 0.58401 Total predictions: 11000 True positives: 2000 False positives: 7123 False negatives: 0 True negatives: 1877 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31292 Precision: 0.19522 Recall: 1.00000 F1: 0.32666 F2: 0.54810 Total predictions: 12000 True positives: 2000 False positives: 8245 False negatives: 0 True negatives: 1755 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.30458 Precision: 0.19333 Recall: 1.00000 F1: 0.32402 F2: 0.54511 Total predictions: 12000 True positives: 2000 False positives: 8345 False negatives: 0 True negatives: 1655 ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30558 Precision: 0.18596 Recall: 0.93750 F1: 0.31035 F2: 0.51844 Total predictions: 12000 True positives: 1875 False positives: 8208 False negatives: 125 True negatives: 1792 ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28123 Precision: 0.17596 Recall: 0.99700 F1: 0.29913 F2: 0.51573 Total predictions: 13000 True positives: 1994 False positives: 9338 False negatives: 6 True negatives: 1662 ['poi', 'expenses', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30842 Precision: 0.19330 Recall: 0.99250 F1: 0.32358 F2: 0.54327 Total predictions: 12000 True positives: 1985 False positives: 8284 False negatives: 15 True negatives: 1716 ['poi', 'expenses', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27777 Precision: 0.17046 Recall: 0.95550 F1: 0.28930 F2: 0.49737 Total predictions: 13000 True positives: 1911 False positives: 9300 False negatives: 89 True negatives: 1700 ['poi', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26486 Precision: 0.16271 Recall: 1.00000 F1: 0.27988 F2: 0.49281 Total predictions: 14000 True positives: 2000 False positives: 10292 False negatives: 0 True negatives: 1708 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.76258 Precision: 0.14946 Recall: 0.09050 F1: 0.11274 F2: 0.09825 Total predictions: 12000 True positives: 181 False positives: 1030 False negatives: 1819 True negatives: 8970 ['poi', 'expenses', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other'] Accuracy: 0.80131 Precision: 0.01173 Recall: 0.00350 F1: 0.00539 F2: 0.00407 Total predictions: 13000 True positives: 7 False positives: 590 False negatives: 1993 True negatives: 10410 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.18608 Precision: 0.15897 Recall: 1.00000 F1: 0.27433 F2: 0.48589 Total predictions: 13000 True positives: 2000 False positives: 10581 False negatives: 0 True negatives: 419 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.82469 Precision: 0.38404 Recall: 0.23100 F1: 0.28848 F2: 0.25101 Total predictions: 13000 True positives: 462 False positives: 741 False negatives: 1538 True negatives: 10259 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84643 Precision: 0.43981 Recall: 0.27400 F1: 0.33765 F2: 0.29634 Total predictions: 14000 True positives: 548 False positives: 698 False negatives: 1452 True negatives: 11302 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78308 Precision: 0.03400 Recall: 0.01100 F1: 0.01662 F2: 0.01272 Total predictions: 12000 True positives: 22 False positives: 625 False negatives: 1978 True negatives: 9375 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.77842 Precision: 0.00894 Recall: 0.00300 F1: 0.00449 F2: 0.00346 Total predictions: 12000 True positives: 6 False positives: 665 False negatives: 1994 True negatives: 9335 ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.80708 Precision: 0.20047 Recall: 0.08500 F1: 0.11938 F2: 0.09607 Total predictions: 13000 True positives: 170 False positives: 678 False negatives: 1830 True negatives: 10322 ['poi', 'expenses', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.81300 Precision: 0.26082 Recall: 0.11750 F1: 0.16201 F2: 0.13201 Total predictions: 13000 True positives: 235 False positives: 666 False negatives: 1765 True negatives: 10334 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82429 Precision: 0.08484 Recall: 0.02350 F1: 0.03681 F2: 0.02747 Total predictions: 14000 True positives: 47 False positives: 507 False negatives: 1953 True negatives: 11493 ['poi', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84714 Precision: 0.44281 Recall: 0.27100 F1: 0.33623 F2: 0.29380 Total predictions: 14000 True positives: 542 False positives: 682 False negatives: 1458 True negatives: 11318 ['poi', 'expenses', 'from_messages', 'other'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other'] Accuracy: 0.78862 Precision: 0.08444 Recall: 0.03800 F1: 0.05241 F2: 0.04270 Total predictions: 13000 True positives: 76 False positives: 824 False negatives: 1924 True negatives: 10176 ['poi', 'expenses', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees'] Accuracy: 0.29977 Precision: 0.17337 Recall: 0.94250 F1: 0.29286 F2: 0.49939 Total predictions: 13000 True positives: 1885 False positives: 8988 False negatives: 115 True negatives: 2012 ['poi', 'expenses', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees'] Accuracy: 0.20608 Precision: 0.15499 Recall: 0.93450 F1: 0.26588 F2: 0.46588 Total predictions: 13000 True positives: 1869 False positives: 10190 False negatives: 131 True negatives: 810 ['poi', 'expenses', 'from_messages', 'bonus'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus'] Accuracy: 0.81169 Precision: 0.32194 Recall: 0.20250 F1: 0.24862 F2: 0.21873 Total predictions: 13000 True positives: 405 False positives: 853 False negatives: 1595 True negatives: 10147 ['poi', 'expenses', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value'] Accuracy: 0.86686 Precision: 0.56814 Recall: 0.28350 F1: 0.37825 F2: 0.31507 Total predictions: 14000 True positives: 567 False positives: 431 False negatives: 1433 True negatives: 11569 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.75192 Precision: 0.11984 Recall: 0.07700 F1: 0.09376 F2: 0.08293 Total predictions: 12000 True positives: 154 False positives: 1131 False negatives: 1846 True negatives: 8869 ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75317 Precision: 0.09099 Recall: 0.05350 F1: 0.06738 F2: 0.05830 Total predictions: 12000 True positives: 107 False positives: 1069 False negatives: 1893 True negatives: 8931 ['poi', 'expenses', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'restricted_stock'] Accuracy: 0.81585 Precision: 0.26092 Recall: 0.10750 F1: 0.15227 F2: 0.12183 Total predictions: 13000 True positives: 215 False positives: 609 False negatives: 1785 True negatives: 10391 ['poi', 'expenses', 'from_messages', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'salary'] Accuracy: 0.79723 Precision: 0.25762 Recall: 0.16900 F1: 0.20411 F2: 0.18149 Total predictions: 13000 True positives: 338 False positives: 974 False negatives: 1662 True negatives: 10026 ['poi', 'expenses', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_payments'] Accuracy: 0.83686 Precision: 0.17727 Recall: 0.03900 F1: 0.06393 F2: 0.04621 Total predictions: 14000 True positives: 78 False positives: 362 False negatives: 1922 True negatives: 11638 ['poi', 'expenses', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'exercised_stock_options'] Accuracy: 0.85871 Precision: 0.50996 Recall: 0.28150 F1: 0.36276 F2: 0.30920 Total predictions: 14000 True positives: 563 False positives: 541 False negatives: 1437 True negatives: 11459 ['poi', 'expenses', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees'] Accuracy: 0.29108 Precision: 0.18218 Recall: 0.93250 F1: 0.30481 F2: 0.51132 Total predictions: 12000 True positives: 1865 False positives: 8372 False negatives: 135 True negatives: 1628 ['poi', 'expenses', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees'] Accuracy: 0.19550 Precision: 0.16465 Recall: 0.93950 F1: 0.28020 F2: 0.48398 Total predictions: 12000 True positives: 1879 False positives: 9533 False negatives: 121 True negatives: 467 ['poi', 'expenses', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'other', 'bonus'] Accuracy: 0.80609 Precision: 0.38786 Recall: 0.11500 F1: 0.17740 F2: 0.13383 Total predictions: 11000 True positives: 230 False positives: 363 False negatives: 1770 True negatives: 8637 ['poi', 'expenses', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value'] Accuracy: 0.85214 Precision: 0.45647 Recall: 0.18350 F1: 0.26177 F2: 0.20843 Total predictions: 14000 True positives: 367 False positives: 437 False negatives: 1633 True negatives: 11563 ['poi', 'expenses', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person'] Accuracy: 0.80450 Precision: 0.01944 Recall: 0.00350 F1: 0.00593 F2: 0.00419 Total predictions: 12000 True positives: 7 False positives: 353 False negatives: 1993 True negatives: 9647 ['poi', 'expenses', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'from_this_person_to_poi'] Accuracy: 0.79558 Precision: 0.00438 Recall: 0.00100 F1: 0.00163 F2: 0.00118 Total predictions: 12000 True positives: 2 False positives: 455 False negatives: 1998 True negatives: 9545 ['poi', 'expenses', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'restricted_stock'] Accuracy: 0.81831 Precision: 0.18357 Recall: 0.05250 F1: 0.08165 F2: 0.06125 Total predictions: 13000 True positives: 105 False positives: 467 False negatives: 1895 True negatives: 10533 ['poi', 'expenses', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'salary'] Accuracy: 0.80064 Precision: 0.24935 Recall: 0.04800 F1: 0.08050 F2: 0.05725 Total predictions: 11000 True positives: 96 False positives: 289 False negatives: 1904 True negatives: 8711 ['poi', 'expenses', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'total_payments'] Accuracy: 0.81362 Precision: 0.01155 Recall: 0.00250 F1: 0.00411 F2: 0.00296 Total predictions: 13000 True positives: 5 False positives: 428 False negatives: 1995 True negatives: 10572 ['poi', 'expenses', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'exercised_stock_options'] Accuracy: 0.84807 Precision: 0.42359 Recall: 0.17600 F1: 0.24868 F2: 0.19930 Total predictions: 14000 True positives: 352 False positives: 479 False negatives: 1648 True negatives: 11521 ['poi', 'expenses', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees'] Accuracy: 0.34173 Precision: 0.21643 Recall: 1.00000 F1: 0.35584 F2: 0.58001 Total predictions: 11000 True positives: 2000 False positives: 7241 False negatives: 0 True negatives: 1759 ['poi', 'expenses', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus'] Accuracy: 0.30533 Precision: 0.19350 Recall: 1.00000 F1: 0.32425 F2: 0.54538 Total predictions: 12000 True positives: 2000 False positives: 8336 False negatives: 0 True negatives: 1664 ['poi', 'expenses', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value'] Accuracy: 0.26129 Precision: 0.16205 Recall: 1.00000 F1: 0.27890 F2: 0.49159 Total predictions: 14000 True positives: 2000 False positives: 10342 False negatives: 0 True negatives: 1658 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30117 Precision: 0.18622 Recall: 0.94750 F1: 0.31127 F2: 0.52129 Total predictions: 12000 True positives: 1895 False positives: 8281 False negatives: 105 True negatives: 1719 ['poi', 'expenses', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'restricted_stock'] Accuracy: 0.25907 Precision: 0.16038 Recall: 0.98850 F1: 0.27598 F2: 0.48630 Total predictions: 14000 True positives: 1977 False positives: 10350 False negatives: 23 True negatives: 1650 ['poi', 'expenses', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'salary'] Accuracy: 0.29792 Precision: 0.19090 Recall: 0.99200 F1: 0.32018 F2: 0.53934 Total predictions: 12000 True positives: 1984 False positives: 8409 False negatives: 16 True negatives: 1591 ['poi', 'expenses', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_payments'] Accuracy: 0.35100 Precision: 0.18375 Recall: 0.93500 F1: 0.30714 F2: 0.51439 Total predictions: 13000 True positives: 1870 False positives: 8307 False negatives: 130 True negatives: 2693 ['poi', 'expenses', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'exercised_stock_options'] Accuracy: 0.26750 Precision: 0.16320 Recall: 1.00000 F1: 0.28060 F2: 0.49371 Total predictions: 14000 True positives: 2000 False positives: 10255 False negatives: 0 True negatives: 1745 ['poi', 'expenses', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus'] Accuracy: 0.21864 Precision: 0.18877 Recall: 1.00000 F1: 0.31759 F2: 0.53778 Total predictions: 11000 True positives: 2000 False positives: 8595 False negatives: 0 True negatives: 405 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20179 Precision: 0.15048 Recall: 0.98750 F1: 0.26116 F2: 0.46746 Total predictions: 14000 True positives: 1975 False positives: 11150 False negatives: 25 True negatives: 850 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.20208 Precision: 0.17279 Recall: 1.00000 F1: 0.29466 F2: 0.51086 Total predictions: 12000 True positives: 2000 False positives: 9575 False negatives: 0 True negatives: 425 ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19842 Precision: 0.16575 Recall: 0.94450 F1: 0.28200 F2: 0.48693 Total predictions: 12000 True positives: 1889 False positives: 9508 False negatives: 111 True negatives: 492 ['poi', 'expenses', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18377 Precision: 0.15827 Recall: 0.99700 F1: 0.27317 F2: 0.48400 Total predictions: 13000 True positives: 1994 False positives: 10605 False negatives: 6 True negatives: 395 ['poi', 'expenses', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'salary'] Accuracy: 0.20083 Precision: 0.17131 Recall: 0.98900 F1: 0.29204 F2: 0.50599 Total predictions: 12000 True positives: 1978 False positives: 9568 False negatives: 22 True negatives: 432 ['poi', 'expenses', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_payments'] Accuracy: 0.22500 Precision: 0.15107 Recall: 0.87400 F1: 0.25761 F2: 0.44658 Total predictions: 13000 True positives: 1748 False positives: 9823 False negatives: 252 True negatives: 1177 ['poi', 'expenses', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20515 Precision: 0.16206 Recall: 0.99900 F1: 0.27888 F2: 0.49142 Total predictions: 13000 True positives: 1998 False positives: 10331 False negatives: 2 True negatives: 669 ['poi', 'expenses', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value'] Accuracy: 0.86029 Precision: 0.51864 Recall: 0.30600 F1: 0.38491 F2: 0.33333 Total predictions: 14000 True positives: 612 False positives: 568 False negatives: 1388 True negatives: 11432 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.83333 Precision: 0.50000 Recall: 0.23300 F1: 0.31787 F2: 0.26086 Total predictions: 12000 True positives: 466 False positives: 466 False negatives: 1534 True negatives: 9534 ['poi', 'expenses', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.81942 Precision: 0.40565 Recall: 0.17950 F1: 0.24887 F2: 0.20203 Total predictions: 12000 True positives: 359 False positives: 526 False negatives: 1641 True negatives: 9474 ['poi', 'expenses', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'bonus', 'restricted_stock'] Accuracy: 0.82431 Precision: 0.35115 Recall: 0.16750 F1: 0.22681 F2: 0.18707 Total predictions: 13000 True positives: 335 False positives: 619 False negatives: 1665 True negatives: 10381 ['poi', 'expenses', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'bonus', 'salary'] Accuracy: 0.80382 Precision: 0.40771 Recall: 0.17450 F1: 0.24440 F2: 0.19704 Total predictions: 11000 True positives: 349 False positives: 507 False negatives: 1651 True negatives: 8493 ['poi', 'expenses', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_payments'] Accuracy: 0.82815 Precision: 0.34524 Recall: 0.13050 F1: 0.18940 F2: 0.14904 Total predictions: 13000 True positives: 261 False positives: 495 False negatives: 1739 True negatives: 10505 ['poi', 'expenses', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'exercised_stock_options'] Accuracy: 0.85407 Precision: 0.48204 Recall: 0.28850 F1: 0.36096 F2: 0.31369 Total predictions: 14000 True positives: 577 False positives: 620 False negatives: 1423 True negatives: 11380 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.87493 Precision: 0.64229 Recall: 0.28100 F1: 0.39096 F2: 0.31662 Total predictions: 14000 True positives: 562 False positives: 313 False negatives: 1438 True negatives: 11687 ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.87429 Precision: 0.63921 Recall: 0.27550 F1: 0.38505 F2: 0.31088 Total predictions: 14000 True positives: 551 False positives: 311 False negatives: 1449 True negatives: 11689 ['poi', 'expenses', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86836 Precision: 0.58035 Recall: 0.28350 F1: 0.38092 F2: 0.31581 Total predictions: 14000 True positives: 567 False positives: 410 False negatives: 1433 True negatives: 11590 ['poi', 'expenses', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'salary'] Accuracy: 0.85886 Precision: 0.51212 Recall: 0.25350 F1: 0.33913 F2: 0.28198 Total predictions: 14000 True positives: 507 False positives: 483 False negatives: 1493 True negatives: 11517 ['poi', 'expenses', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'total_payments'] Accuracy: 0.85353 Precision: 0.39420 Recall: 0.18350 F1: 0.25043 F2: 0.20546 Total predictions: 15000 True positives: 367 False positives: 564 False negatives: 1633 True negatives: 12436 ['poi', 'expenses', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85579 Precision: 0.49169 Recall: 0.28100 F1: 0.35762 F2: 0.30734 Total predictions: 14000 True positives: 562 False positives: 581 False negatives: 1438 True negatives: 11419 ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78908 Precision: 0.03665 Recall: 0.01050 F1: 0.01632 F2: 0.01225 Total predictions: 12000 True positives: 21 False positives: 552 False negatives: 1979 True negatives: 9448 ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82123 Precision: 0.22069 Recall: 0.06400 F1: 0.09922 F2: 0.07459 Total predictions: 13000 True positives: 128 False positives: 452 False negatives: 1872 True negatives: 10548 ['poi', 'expenses', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81375 Precision: 0.33190 Recall: 0.11600 F1: 0.17192 F2: 0.13335 Total predictions: 12000 True positives: 232 False positives: 467 False negatives: 1768 True negatives: 9533 ['poi', 'expenses', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82600 Precision: 0.07742 Recall: 0.01200 F1: 0.02078 F2: 0.01444 Total predictions: 13000 True positives: 24 False positives: 286 False negatives: 1976 True negatives: 10714 ['poi', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86579 Precision: 0.56167 Recall: 0.27550 F1: 0.36967 F2: 0.30676 Total predictions: 14000 True positives: 551 False positives: 430 False negatives: 1449 True negatives: 11570 ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81615 Precision: 0.21154 Recall: 0.07150 F1: 0.10688 F2: 0.08241 Total predictions: 13000 True positives: 143 False positives: 533 False negatives: 1857 True negatives: 10467 ['poi', 'expenses', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80400 Precision: 0.26280 Recall: 0.09750 F1: 0.14223 F2: 0.11153 Total predictions: 12000 True positives: 195 False positives: 547 False negatives: 1805 True negatives: 9453 ['poi', 'expenses', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82631 Precision: 0.10185 Recall: 0.01650 F1: 0.02840 F2: 0.01982 Total predictions: 13000 True positives: 33 False positives: 291 False negatives: 1967 True negatives: 10709 ['poi', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86607 Precision: 0.56397 Recall: 0.27550 F1: 0.37017 F2: 0.30690 Total predictions: 14000 True positives: 551 False positives: 426 False negatives: 1449 True negatives: 11574 ['poi', 'expenses', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'salary'] Accuracy: 0.82785 Precision: 0.32024 Recall: 0.10600 F1: 0.15928 F2: 0.12237 Total predictions: 13000 True positives: 212 False positives: 450 False negatives: 1788 True negatives: 10550 ['poi', 'expenses', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'total_payments'] Accuracy: 0.83136 Precision: 0.21212 Recall: 0.06650 F1: 0.10126 F2: 0.07708 Total predictions: 14000 True positives: 133 False positives: 494 False negatives: 1867 True negatives: 11506 ['poi', 'expenses', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86307 Precision: 0.53949 Recall: 0.28350 F1: 0.37168 F2: 0.31323 Total predictions: 14000 True positives: 567 False positives: 484 False negatives: 1433 True negatives: 11516 ['poi', 'expenses', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'salary', 'total_payments'] Accuracy: 0.82892 Precision: 0.26068 Recall: 0.06100 F1: 0.09887 F2: 0.07204 Total predictions: 13000 True positives: 122 False positives: 346 False negatives: 1878 True negatives: 10654 ['poi', 'expenses', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'salary', 'exercised_stock_options'] Accuracy: 0.86350 Precision: 0.54800 Recall: 0.25400 F1: 0.34711 F2: 0.28453 Total predictions: 14000 True positives: 508 False positives: 419 False negatives: 1492 True negatives: 11581 ['poi', 'expenses', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84943 Precision: 0.43525 Recall: 0.18150 F1: 0.25618 F2: 0.20546 Total predictions: 14000 True positives: 363 False positives: 471 False negatives: 1637 True negatives: 11529 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.36910 Precision: 0.24070 Recall: 1.00000 F1: 0.38801 F2: 0.61316 Total predictions: 10000 True positives: 2000 False positives: 6309 False negatives: 0 True negatives: 1691 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.82742 Precision: 0.47167 Recall: 0.29550 F1: 0.36336 F2: 0.31936 Total predictions: 12000 True positives: 591 False positives: 662 False negatives: 1409 True negatives: 9338 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages'] Accuracy: 0.83642 Precision: 0.51467 Recall: 0.32450 F1: 0.39804 F2: 0.35039 Total predictions: 12000 True positives: 649 False positives: 612 False negatives: 1351 True negatives: 9388 ['poi', 'deferred_income', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other'] Accuracy: 0.81145 Precision: 0.45521 Recall: 0.18800 F1: 0.26610 F2: 0.21301 Total predictions: 11000 True positives: 376 False positives: 450 False negatives: 1624 True negatives: 8550 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees'] Accuracy: 0.36270 Precision: 0.23886 Recall: 1.00000 F1: 0.38562 F2: 0.61076 Total predictions: 10000 True positives: 2000 False positives: 6373 False negatives: 0 True negatives: 1627 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.23990 Precision: 0.20831 Recall: 1.00000 F1: 0.34480 F2: 0.56815 Total predictions: 10000 True positives: 2000 False positives: 7601 False negatives: 0 True negatives: 399 ['poi', 'deferred_income', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus'] Accuracy: 0.83791 Precision: 0.58701 Recall: 0.36600 F1: 0.45088 F2: 0.39580 Total predictions: 11000 True positives: 732 False positives: 515 False negatives: 1268 True negatives: 8485 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.86521 Precision: 0.54010 Recall: 0.38050 F1: 0.44647 F2: 0.40440 Total predictions: 14000 True positives: 761 False positives: 648 False negatives: 1239 True negatives: 11352 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.83450 Precision: 0.50577 Recall: 0.30700 F1: 0.38208 F2: 0.33319 Total predictions: 12000 True positives: 614 False positives: 600 False negatives: 1386 True negatives: 9400 ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.80100 Precision: 0.41790 Recall: 0.24050 F1: 0.30530 F2: 0.26281 Total predictions: 11000 True positives: 481 False positives: 670 False negatives: 1519 True negatives: 8330 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.84692 Precision: 0.50371 Recall: 0.33950 F1: 0.40562 F2: 0.36318 Total predictions: 13000 True positives: 679 False positives: 669 False negatives: 1321 True negatives: 10331 ['poi', 'deferred_income', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'salary'] Accuracy: 0.83445 Precision: 0.57643 Recall: 0.33750 F1: 0.42573 F2: 0.36801 Total predictions: 11000 True positives: 675 False positives: 496 False negatives: 1325 True negatives: 8504 ['poi', 'deferred_income', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_payments'] Accuracy: 0.83069 Precision: 0.39940 Recall: 0.19950 F1: 0.26609 F2: 0.22169 Total predictions: 13000 True positives: 399 False positives: 600 False negatives: 1601 True negatives: 10400 ['poi', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.85400 Precision: 0.53823 Recall: 0.35900 F1: 0.43071 F2: 0.38462 Total predictions: 13000 True positives: 718 False positives: 616 False negatives: 1282 True negatives: 10384 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.31358 Precision: 0.19537 Recall: 1.00000 F1: 0.32688 F2: 0.54834 Total predictions: 12000 True positives: 2000 False positives: 8237 False negatives: 0 True negatives: 1763 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33658 Precision: 0.19264 Recall: 0.93400 F1: 0.31940 F2: 0.52777 Total predictions: 12000 True positives: 1868 False positives: 7829 False negatives: 132 True negatives: 2171 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other'] Accuracy: 0.33309 Precision: 0.20765 Recall: 0.94750 F1: 0.34064 F2: 0.55325 Total predictions: 11000 True positives: 1895 False positives: 7231 False negatives: 105 True negatives: 1769 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.70733 Precision: 0.36284 Recall: 1.00000 F1: 0.53248 F2: 0.74008 Total predictions: 6000 True positives: 1000 False positives: 1756 False negatives: 0 True negatives: 3244 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.49550 Precision: 0.24832 Recall: 1.00000 F1: 0.39785 F2: 0.62290 Total predictions: 6000 True positives: 1000 False positives: 3027 False negatives: 0 True negatives: 1973 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.34491 Precision: 0.21725 Recall: 1.00000 F1: 0.35695 F2: 0.58119 Total predictions: 11000 True positives: 2000 False positives: 7206 False negatives: 0 True negatives: 1794 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26650 Precision: 0.16301 Recall: 1.00000 F1: 0.28033 F2: 0.49336 Total predictions: 14000 True positives: 2000 False positives: 10269 False negatives: 0 True negatives: 1731 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.33818 Precision: 0.21552 Recall: 1.00000 F1: 0.35461 F2: 0.57870 Total predictions: 11000 True positives: 2000 False positives: 7280 False negatives: 0 True negatives: 1720 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.35050 Precision: 0.22781 Recall: 0.94050 F1: 0.36677 F2: 0.57852 Total predictions: 10000 True positives: 1881 False positives: 6376 False negatives: 119 True negatives: 1624 ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.30667 Precision: 0.19279 Recall: 0.99150 F1: 0.32281 F2: 0.54222 Total predictions: 12000 True positives: 1983 False positives: 8303 False negatives: 17 True negatives: 1697 ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30842 Precision: 0.19384 Recall: 0.99700 F1: 0.32457 F2: 0.54520 Total predictions: 12000 True positives: 1994 False positives: 8293 False negatives: 6 True negatives: 1707 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27546 Precision: 0.16941 Recall: 0.95050 F1: 0.28757 F2: 0.49451 Total predictions: 13000 True positives: 1901 False positives: 9320 False negatives: 99 True negatives: 1680 ['poi', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28808 Precision: 0.17770 Recall: 1.00000 F1: 0.30177 F2: 0.51935 Total predictions: 13000 True positives: 2000 False positives: 9255 False negatives: 0 True negatives: 1745 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.80827 Precision: 0.43743 Recall: 0.19050 F1: 0.26541 F2: 0.21474 Total predictions: 11000 True positives: 381 False positives: 490 False negatives: 1619 True negatives: 8510 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other'] Accuracy: 0.82577 Precision: 0.34647 Recall: 0.14950 F1: 0.20887 F2: 0.16868 Total predictions: 13000 True positives: 299 False positives: 564 False negatives: 1701 True negatives: 10436 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.30617 Precision: 0.19369 Recall: 1.00000 F1: 0.32452 F2: 0.54567 Total predictions: 12000 True positives: 2000 False positives: 8326 False negatives: 0 True negatives: 1674 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21545 Precision: 0.18815 Recall: 1.00000 F1: 0.31671 F2: 0.53677 Total predictions: 11000 True positives: 2000 False positives: 8630 False negatives: 0 True negatives: 370 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.84058 Precision: 0.53401 Recall: 0.34150 F1: 0.41659 F2: 0.36804 Total predictions: 12000 True positives: 683 False positives: 596 False negatives: 1317 True negatives: 9404 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84864 Precision: 0.46036 Recall: 0.34550 F1: 0.39474 F2: 0.36365 Total predictions: 14000 True positives: 691 False positives: 810 False negatives: 1309 True negatives: 11190 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78973 Precision: 0.33118 Recall: 0.15350 F1: 0.20977 F2: 0.17195 Total predictions: 11000 True positives: 307 False positives: 620 False negatives: 1693 True negatives: 8380 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78745 Precision: 0.31630 Recall: 0.14550 F1: 0.19932 F2: 0.16312 Total predictions: 11000 True positives: 291 False positives: 629 False negatives: 1709 True negatives: 8371 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.82115 Precision: 0.38532 Recall: 0.27300 F1: 0.31958 F2: 0.28990 Total predictions: 13000 True positives: 546 False positives: 871 False negatives: 1454 True negatives: 10129 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83869 Precision: 0.46232 Recall: 0.29750 F1: 0.36203 F2: 0.32034 Total predictions: 13000 True positives: 595 False positives: 692 False negatives: 1405 True negatives: 10308 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.84779 Precision: 0.42321 Recall: 0.18050 F1: 0.25307 F2: 0.20389 Total predictions: 14000 True positives: 361 False positives: 492 False negatives: 1639 True negatives: 11508 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.86257 Precision: 0.52722 Recall: 0.36800 F1: 0.43345 F2: 0.39166 Total predictions: 14000 True positives: 736 False positives: 660 False negatives: 1264 True negatives: 11340 ['poi', 'deferred_income', 'from_messages', 'other'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other'] Accuracy: 0.82900 Precision: 0.36898 Recall: 0.15700 F1: 0.22027 F2: 0.17738 Total predictions: 13000 True positives: 314 False positives: 537 False negatives: 1686 True negatives: 10463 ['poi', 'deferred_income', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees'] Accuracy: 0.33292 Precision: 0.19170 Recall: 0.93350 F1: 0.31809 F2: 0.52624 Total predictions: 12000 True positives: 1867 False positives: 7872 False negatives: 133 True negatives: 2128 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees'] Accuracy: 0.24091 Precision: 0.18471 Recall: 0.93000 F1: 0.30820 F2: 0.51467 Total predictions: 11000 True positives: 1860 False positives: 8210 False negatives: 140 True negatives: 790 ['poi', 'deferred_income', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus'] Accuracy: 0.85700 Precision: 0.61697 Recall: 0.37450 F1: 0.46609 F2: 0.40645 Total predictions: 12000 True positives: 749 False positives: 465 False negatives: 1251 True negatives: 9535 ['poi', 'deferred_income', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value'] Accuracy: 0.86643 Precision: 0.54571 Recall: 0.38800 F1: 0.45354 F2: 0.41180 Total predictions: 14000 True positives: 776 False positives: 646 False negatives: 1224 True negatives: 11354 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.81018 Precision: 0.45573 Recall: 0.22650 F1: 0.30261 F2: 0.25183 Total predictions: 11000 True positives: 453 False positives: 541 False negatives: 1547 True negatives: 8459 ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.76264 Precision: 0.31246 Recall: 0.25450 F1: 0.28052 F2: 0.26431 Total predictions: 11000 True positives: 509 False positives: 1120 False negatives: 1491 True negatives: 7880 ['poi', 'deferred_income', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'restricted_stock'] Accuracy: 0.84900 Precision: 0.51528 Recall: 0.31200 F1: 0.38866 F2: 0.33873 Total predictions: 13000 True positives: 624 False positives: 587 False negatives: 1376 True negatives: 10413 ['poi', 'deferred_income', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'salary'] Accuracy: 0.85600 Precision: 0.55120 Recall: 0.34450 F1: 0.42400 F2: 0.37243 Total predictions: 13000 True positives: 689 False positives: 561 False negatives: 1311 True negatives: 10439 ['poi', 'deferred_income', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_payments'] Accuracy: 0.85086 Precision: 0.44848 Recall: 0.19150 F1: 0.26840 F2: 0.21629 Total predictions: 14000 True positives: 383 False positives: 471 False negatives: 1617 True negatives: 11529 ['poi', 'deferred_income', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'exercised_stock_options'] Accuracy: 0.87214 Precision: 0.57104 Recall: 0.42200 F1: 0.48534 F2: 0.44524 Total predictions: 14000 True positives: 844 False positives: 634 False negatives: 1156 True negatives: 11366 ['poi', 'deferred_income', 'other', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees'] Accuracy: 0.32409 Precision: 0.20516 Recall: 0.94550 F1: 0.33717 F2: 0.54917 Total predictions: 11000 True positives: 1891 False positives: 7326 False negatives: 109 True negatives: 1674 ['poi', 'deferred_income', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees'] Accuracy: 0.21073 Precision: 0.18065 Recall: 0.94500 F1: 0.30332 F2: 0.51186 Total predictions: 11000 True positives: 1890 False positives: 8572 False negatives: 110 True negatives: 428 ['poi', 'deferred_income', 'other', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus'] Accuracy: 0.82282 Precision: 0.52975 Recall: 0.22700 F1: 0.31782 F2: 0.25629 Total predictions: 11000 True positives: 454 False positives: 403 False negatives: 1546 True negatives: 8597 ['poi', 'deferred_income', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value'] Accuracy: 0.85707 Precision: 0.49957 Recall: 0.29150 F1: 0.36817 F2: 0.31799 Total predictions: 14000 True positives: 583 False positives: 584 False negatives: 1417 True negatives: 11416 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person'] Accuracy: 0.82158 Precision: 0.41906 Recall: 0.18250 F1: 0.25427 F2: 0.20573 Total predictions: 12000 True positives: 365 False positives: 506 False negatives: 1635 True negatives: 9494 ['poi', 'deferred_income', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_this_person_to_poi'] Accuracy: 0.80858 Precision: 0.35015 Recall: 0.17350 F1: 0.23203 F2: 0.19297 Total predictions: 12000 True positives: 347 False positives: 644 False negatives: 1653 True negatives: 9356 ['poi', 'deferred_income', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'restricted_stock'] Accuracy: 0.83677 Precision: 0.43776 Recall: 0.21450 F1: 0.28792 F2: 0.23886 Total predictions: 13000 True positives: 429 False positives: 551 False negatives: 1571 True negatives: 10449 ['poi', 'deferred_income', 'other', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'salary'] Accuracy: 0.82473 Precision: 0.54433 Recall: 0.22100 F1: 0.31437 F2: 0.25079 Total predictions: 11000 True positives: 442 False positives: 370 False negatives: 1558 True negatives: 8630 ['poi', 'deferred_income', 'other', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_payments'] Accuracy: 0.83123 Precision: 0.37690 Recall: 0.14850 F1: 0.21306 F2: 0.16898 Total predictions: 13000 True positives: 297 False positives: 491 False negatives: 1703 True negatives: 10509 ['poi', 'deferred_income', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'exercised_stock_options'] Accuracy: 0.86143 Precision: 0.52737 Recall: 0.28900 F1: 0.37339 F2: 0.31772 Total predictions: 14000 True positives: 578 False positives: 518 False negatives: 1422 True negatives: 11482 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees'] Accuracy: 0.48500 Precision: 0.24450 Recall: 1.00000 F1: 0.39293 F2: 0.61805 Total predictions: 6000 True positives: 1000 False positives: 3090 False negatives: 0 True negatives: 1910 ['poi', 'deferred_income', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus'] Accuracy: 0.35000 Precision: 0.23529 Recall: 1.00000 F1: 0.38095 F2: 0.60606 Total predictions: 10000 True positives: 2000 False positives: 6500 False negatives: 0 True negatives: 1500 ['poi', 'deferred_income', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value'] Accuracy: 0.25529 Precision: 0.16095 Recall: 1.00000 F1: 0.27728 F2: 0.48957 Total predictions: 14000 True positives: 2000 False positives: 10426 False negatives: 0 True negatives: 1574 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.33382 Precision: 0.21441 Recall: 1.00000 F1: 0.35311 F2: 0.57710 Total predictions: 11000 True positives: 2000 False positives: 7328 False negatives: 0 True negatives: 1672 ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.34800 Precision: 0.22573 Recall: 0.93000 F1: 0.36328 F2: 0.57266 Total predictions: 10000 True positives: 1860 False positives: 6380 False negatives: 140 True negatives: 1620 ['poi', 'deferred_income', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'restricted_stock'] Accuracy: 0.27923 Precision: 0.17441 Recall: 0.98700 F1: 0.29644 F2: 0.51092 Total predictions: 13000 True positives: 1974 False positives: 9344 False negatives: 26 True negatives: 1656 ['poi', 'deferred_income', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'salary'] Accuracy: 0.32400 Precision: 0.21110 Recall: 0.99300 F1: 0.34818 F2: 0.57043 Total predictions: 11000 True positives: 1986 False positives: 7422 False negatives: 14 True negatives: 1578 ['poi', 'deferred_income', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_payments'] Accuracy: 0.59623 Precision: 0.16840 Recall: 0.41250 F1: 0.23917 F2: 0.31979 Total predictions: 13000 True positives: 825 False positives: 4074 False negatives: 1175 True negatives: 6926 ['poi', 'deferred_income', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27962 Precision: 0.17598 Recall: 1.00000 F1: 0.29929 F2: 0.51640 Total predictions: 13000 True positives: 2000 False positives: 9365 False negatives: 0 True negatives: 1635 ['poi', 'deferred_income', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus'] Accuracy: 0.23870 Precision: 0.20805 Recall: 1.00000 F1: 0.34444 F2: 0.56776 Total predictions: 10000 True positives: 2000 False positives: 7613 False negatives: 0 True negatives: 387 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21543 Precision: 0.14879 Recall: 0.95150 F1: 0.25734 F2: 0.45767 Total predictions: 14000 True positives: 1903 False positives: 10887 False negatives: 97 True negatives: 1113 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.14260 Precision: 0.10445 Recall: 1.00000 F1: 0.18914 F2: 0.36835 Total predictions: 10000 True positives: 1000 False positives: 8574 False negatives: 0 True negatives: 426 ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.23090 Precision: 0.19790 Recall: 0.93200 F1: 0.32647 F2: 0.53505 Total predictions: 10000 True positives: 1864 False positives: 7555 False negatives: 136 True negatives: 445 ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19808 Precision: 0.17111 Recall: 0.99150 F1: 0.29185 F2: 0.50615 Total predictions: 12000 True positives: 1983 False positives: 9606 False negatives: 17 True negatives: 394 ['poi', 'deferred_income', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'salary'] Accuracy: 0.21536 Precision: 0.18695 Recall: 0.99000 F1: 0.31451 F2: 0.53252 Total predictions: 11000 True positives: 1980 False positives: 8611 False negatives: 20 True negatives: 389 ['poi', 'deferred_income', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_payments'] Accuracy: 0.23415 Precision: 0.15294 Recall: 0.87650 F1: 0.26044 F2: 0.45036 Total predictions: 13000 True positives: 1753 False positives: 9709 False negatives: 247 True negatives: 1291 ['poi', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21754 Precision: 0.16046 Recall: 0.96550 F1: 0.27519 F2: 0.48193 Total predictions: 13000 True positives: 1931 False positives: 10103 False negatives: 69 True negatives: 897 ['poi', 'deferred_income', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value'] Accuracy: 0.85971 Precision: 0.51302 Recall: 0.35450 F1: 0.41928 F2: 0.37785 Total predictions: 14000 True positives: 709 False positives: 673 False negatives: 1291 True negatives: 11327 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.85233 Precision: 0.60071 Recall: 0.34000 F1: 0.43423 F2: 0.37232 Total predictions: 12000 True positives: 680 False positives: 452 False negatives: 1320 True negatives: 9548 ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.82573 Precision: 0.53508 Recall: 0.31650 F1: 0.39774 F2: 0.34466 Total predictions: 11000 True positives: 633 False positives: 550 False negatives: 1367 True negatives: 8450 ['poi', 'deferred_income', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'restricted_stock'] Accuracy: 0.84800 Precision: 0.50910 Recall: 0.33550 F1: 0.40446 F2: 0.36006 Total predictions: 13000 True positives: 671 False positives: 647 False negatives: 1329 True negatives: 10353 ['poi', 'deferred_income', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'salary'] Accuracy: 0.83536 Precision: 0.59692 Recall: 0.29100 F1: 0.39126 F2: 0.32423 Total predictions: 11000 True positives: 582 False positives: 393 False negatives: 1418 True negatives: 8607 ['poi', 'deferred_income', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_payments'] Accuracy: 0.84446 Precision: 0.48700 Recall: 0.20600 F1: 0.28953 F2: 0.23287 Total predictions: 13000 True positives: 412 False positives: 434 False negatives: 1588 True negatives: 10566 ['poi', 'deferred_income', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'exercised_stock_options'] Accuracy: 0.85971 Precision: 0.51368 Recall: 0.33800 F1: 0.40772 F2: 0.36282 Total predictions: 14000 True positives: 676 False positives: 640 False negatives: 1324 True negatives: 11360 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86171 Precision: 0.52402 Recall: 0.34900 F1: 0.41897 F2: 0.37398 Total predictions: 14000 True positives: 698 False positives: 634 False negatives: 1302 True negatives: 11366 ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86229 Precision: 0.52748 Recall: 0.34550 F1: 0.41752 F2: 0.37111 Total predictions: 14000 True positives: 691 False positives: 619 False negatives: 1309 True negatives: 11381 ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock'] Accuracy: 0.87050 Precision: 0.57310 Recall: 0.36650 F1: 0.44709 F2: 0.39498 Total predictions: 14000 True positives: 733 False positives: 546 False negatives: 1267 True negatives: 11454 ['poi', 'deferred_income', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'salary'] Accuracy: 0.86043 Precision: 0.51709 Recall: 0.34800 F1: 0.41602 F2: 0.37235 Total predictions: 14000 True positives: 696 False positives: 650 False negatives: 1304 True negatives: 11350 ['poi', 'deferred_income', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'total_payments'] Accuracy: 0.85533 Precision: 0.43685 Recall: 0.29400 F1: 0.35146 F2: 0.31457 Total predictions: 15000 True positives: 588 False positives: 758 False negatives: 1412 True negatives: 12242 ['poi', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.86400 Precision: 0.53338 Recall: 0.38350 F1: 0.44619 F2: 0.40634 Total predictions: 14000 True positives: 767 False positives: 671 False negatives: 1233 True negatives: 11329 ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.86520 Precision: 0.25900 Recall: 0.18700 F1: 0.21719 F2: 0.19801 Total predictions: 10000 True positives: 187 False positives: 535 False negatives: 813 True negatives: 8465 ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84023 Precision: 0.46458 Recall: 0.25250 F1: 0.32718 F2: 0.27787 Total predictions: 13000 True positives: 505 False positives: 582 False negatives: 1495 True negatives: 10418 ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84550 Precision: 0.56337 Recall: 0.32450 F1: 0.41180 F2: 0.35457 Total predictions: 12000 True positives: 649 False positives: 503 False negatives: 1351 True negatives: 9497 ['poi', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85243 Precision: 0.45780 Recall: 0.17900 F1: 0.25737 F2: 0.20383 Total predictions: 14000 True positives: 358 False positives: 424 False negatives: 1642 True negatives: 11576 ['poi', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.87143 Precision: 0.57899 Recall: 0.36650 F1: 0.44887 F2: 0.39553 Total predictions: 14000 True positives: 733 False positives: 533 False negatives: 1267 True negatives: 11467 ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.82323 Precision: 0.39044 Recall: 0.26550 F1: 0.31607 F2: 0.28365 Total predictions: 13000 True positives: 531 False positives: 829 False negatives: 1469 True negatives: 10171 ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83908 Precision: 0.52977 Recall: 0.30700 F1: 0.38873 F2: 0.33519 Total predictions: 12000 True positives: 614 False positives: 545 False negatives: 1386 True negatives: 9455 ['poi', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84686 Precision: 0.41155 Recall: 0.16750 F1: 0.23810 F2: 0.19004 Total predictions: 14000 True positives: 335 False positives: 479 False negatives: 1665 True negatives: 11521 ['poi', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.87314 Precision: 0.58524 Recall: 0.38450 F1: 0.46409 F2: 0.41282 Total predictions: 14000 True positives: 769 False positives: 545 False negatives: 1231 True negatives: 11455 ['poi', 'deferred_income', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'salary'] Accuracy: 0.85062 Precision: 0.52255 Recall: 0.33600 F1: 0.40901 F2: 0.36184 Total predictions: 13000 True positives: 672 False positives: 614 False negatives: 1328 True negatives: 10386 ['poi', 'deferred_income', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'total_payments'] Accuracy: 0.83371 Precision: 0.36710 Recall: 0.22650 F1: 0.28015 F2: 0.24529 Total predictions: 14000 True positives: 453 False positives: 781 False negatives: 1547 True negatives: 11219 ['poi', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86686 Precision: 0.55030 Recall: 0.37200 F1: 0.44391 F2: 0.39778 Total predictions: 14000 True positives: 744 False positives: 608 False negatives: 1256 True negatives: 11392 ['poi', 'deferred_income', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'salary', 'total_payments'] Accuracy: 0.84362 Precision: 0.48075 Recall: 0.20600 F1: 0.28841 F2: 0.23258 Total predictions: 13000 True positives: 412 False positives: 445 False negatives: 1588 True negatives: 10555 ['poi', 'deferred_income', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'salary', 'exercised_stock_options'] Accuracy: 0.87107 Precision: 0.57946 Recall: 0.35550 F1: 0.44066 F2: 0.38528 Total predictions: 14000 True positives: 711 False positives: 516 False negatives: 1289 True negatives: 11484 ['poi', 'deferred_income', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84864 Precision: 0.45221 Recall: 0.28150 F1: 0.34700 F2: 0.30449 Total predictions: 14000 True positives: 563 False positives: 682 False negatives: 1437 True negatives: 11318 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.31625 Precision: 0.19598 Recall: 1.00000 F1: 0.32773 F2: 0.54930 Total predictions: 12000 True positives: 2000 False positives: 8205 False negatives: 0 True negatives: 1795 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.34000 Precision: 0.19288 Recall: 0.92950 F1: 0.31947 F2: 0.52699 Total predictions: 12000 True positives: 1859 False positives: 7779 False negatives: 141 True negatives: 2221 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.36220 Precision: 0.23259 Recall: 0.95200 F1: 0.37385 F2: 0.58816 Total predictions: 10000 True positives: 1904 False positives: 6282 False negatives: 96 True negatives: 1718 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.45556 Precision: 0.16949 Recall: 1.00000 F1: 0.28986 F2: 0.50505 Total predictions: 9000 True positives: 1000 False positives: 4900 False negatives: 0 True negatives: 3100 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.35675 Precision: 0.16271 Recall: 1.00000 F1: 0.27988 F2: 0.49281 Total predictions: 8000 True positives: 1000 False positives: 5146 False negatives: 0 True negatives: 1854 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.36320 Precision: 0.23901 Recall: 1.00000 F1: 0.38580 F2: 0.61095 Total predictions: 10000 True positives: 2000 False positives: 6368 False negatives: 0 True negatives: 1632 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.27985 Precision: 0.17603 Recall: 1.00000 F1: 0.29936 F2: 0.51648 Total predictions: 13000 True positives: 2000 False positives: 9362 False negatives: 0 True negatives: 1638 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.33791 Precision: 0.21545 Recall: 1.00000 F1: 0.35452 F2: 0.57860 Total predictions: 11000 True positives: 2000 False positives: 7283 False negatives: 0 True negatives: 1717 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.35830 Precision: 0.22818 Recall: 0.92700 F1: 0.36622 F2: 0.57488 Total predictions: 10000 True positives: 1854 False positives: 6271 False negatives: 146 True negatives: 1729 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.30717 Precision: 0.19344 Recall: 0.99600 F1: 0.32396 F2: 0.54432 Total predictions: 12000 True positives: 1992 False positives: 8306 False negatives: 8 True negatives: 1694 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.34727 Precision: 0.21713 Recall: 0.99400 F1: 0.35640 F2: 0.57939 Total predictions: 11000 True positives: 1988 False positives: 7168 False negatives: 12 True negatives: 1832 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.30825 Precision: 0.19416 Recall: 1.00000 F1: 0.32518 F2: 0.54642 Total predictions: 12000 True positives: 2000 False positives: 8301 False negatives: 0 True negatives: 1699 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.75773 Precision: 0.25888 Recall: 0.17850 F1: 0.21131 F2: 0.19032 Total predictions: 11000 True positives: 357 False positives: 1022 False negatives: 1643 True negatives: 7978 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78400 Precision: 0.05015 Recall: 0.01650 F1: 0.02483 F2: 0.01906 Total predictions: 12000 True positives: 33 False positives: 625 False negatives: 1967 True negatives: 9375 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29658 Precision: 0.19019 Recall: 0.98850 F1: 0.31900 F2: 0.53737 Total predictions: 12000 True positives: 1977 False positives: 8418 False negatives: 23 True negatives: 1582 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21800 Precision: 0.18823 Recall: 0.99650 F1: 0.31665 F2: 0.53610 Total predictions: 11000 True positives: 1993 False positives: 8595 False negatives: 7 True negatives: 405 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.79691 Precision: 0.39535 Recall: 0.22100 F1: 0.28352 F2: 0.24238 Total predictions: 11000 True positives: 442 False positives: 676 False negatives: 1558 True negatives: 8324 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.82679 Precision: 0.34386 Recall: 0.23400 F1: 0.27849 F2: 0.24997 Total predictions: 14000 True positives: 468 False positives: 893 False negatives: 1532 True negatives: 11107 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.77473 Precision: 0.24466 Recall: 0.11450 F1: 0.15599 F2: 0.12813 Total predictions: 11000 True positives: 229 False positives: 707 False negatives: 1771 True negatives: 8293 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.76627 Precision: 0.12484 Recall: 0.04750 F1: 0.06882 F2: 0.05422 Total predictions: 11000 True positives: 95 False positives: 666 False negatives: 1905 True negatives: 8334 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.79838 Precision: 0.23393 Recall: 0.13650 F1: 0.17240 F2: 0.14890 Total predictions: 13000 True positives: 273 False positives: 894 False negatives: 1727 True negatives: 10106 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.79875 Precision: 0.28089 Recall: 0.13300 F1: 0.18052 F2: 0.14865 Total predictions: 12000 True positives: 266 False positives: 681 False negatives: 1734 True negatives: 9319 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82586 Precision: 0.17699 Recall: 0.06000 F1: 0.08962 F2: 0.06914 Total predictions: 14000 True positives: 120 False positives: 558 False negatives: 1880 True negatives: 11442 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82669 Precision: 0.38913 Recall: 0.22200 F1: 0.28271 F2: 0.24286 Total predictions: 13000 True positives: 444 False positives: 697 False negatives: 1556 True negatives: 10303 ['poi', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.78450 Precision: 0.14268 Recall: 0.05850 F1: 0.08298 F2: 0.06633 Total predictions: 12000 True positives: 117 False positives: 703 False negatives: 1883 True negatives: 9297 ['poi', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.31717 Precision: 0.18805 Recall: 0.93350 F1: 0.31304 F2: 0.52069 Total predictions: 12000 True positives: 1867 False positives: 8061 False negatives: 133 True negatives: 1939 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.24391 Precision: 0.18575 Recall: 0.93350 F1: 0.30985 F2: 0.51715 Total predictions: 11000 True positives: 1867 False positives: 8184 False negatives: 133 True negatives: 816 ['poi', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.79227 Precision: 0.37467 Recall: 0.21300 F1: 0.27160 F2: 0.23312 Total predictions: 11000 True positives: 426 False positives: 711 False negatives: 1574 True negatives: 8289 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.84750 Precision: 0.44534 Recall: 0.27500 F1: 0.34003 F2: 0.29778 Total predictions: 14000 True positives: 550 False positives: 685 False negatives: 1450 True negatives: 11315 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.74127 Precision: 0.23759 Recall: 0.19150 F1: 0.21207 F2: 0.19923 Total predictions: 11000 True positives: 383 False positives: 1229 False negatives: 1617 True negatives: 7771 ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.71973 Precision: 0.16881 Recall: 0.13800 F1: 0.15186 F2: 0.14323 Total predictions: 11000 True positives: 276 False positives: 1359 False negatives: 1724 True negatives: 7641 ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.81231 Precision: 0.30216 Recall: 0.16800 F1: 0.21594 F2: 0.18437 Total predictions: 13000 True positives: 336 False positives: 776 False negatives: 1664 True negatives: 10224 ['poi', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.81450 Precision: 0.40828 Recall: 0.25150 F1: 0.31126 F2: 0.27242 Total predictions: 12000 True positives: 503 False positives: 729 False negatives: 1497 True negatives: 9271 ['poi', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.82464 Precision: 0.18878 Recall: 0.06900 F1: 0.10106 F2: 0.07903 Total predictions: 14000 True positives: 138 False positives: 593 False negatives: 1862 True negatives: 11407 ['poi', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83338 Precision: 0.43635 Recall: 0.28450 F1: 0.34443 F2: 0.30578 Total predictions: 13000 True positives: 569 False positives: 735 False negatives: 1431 True negatives: 10265 ['poi', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.32509 Precision: 0.20406 Recall: 0.93500 F1: 0.33501 F2: 0.54474 Total predictions: 11000 True positives: 1870 False positives: 7294 False negatives: 130 True negatives: 1706 ['poi', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.23460 Precision: 0.20008 Recall: 0.94300 F1: 0.33012 F2: 0.54115 Total predictions: 10000 True positives: 1886 False positives: 7540 False negatives: 114 True negatives: 460 ['poi', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.76810 Precision: 0.29577 Recall: 0.11550 F1: 0.16613 F2: 0.13153 Total predictions: 10000 True positives: 231 False positives: 550 False negatives: 1769 True negatives: 7450 ['poi', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.83577 Precision: 0.42087 Recall: 0.17950 F1: 0.25166 F2: 0.20276 Total predictions: 13000 True positives: 359 False positives: 494 False negatives: 1641 True negatives: 10506 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.78082 Precision: 0.06737 Recall: 0.01600 F1: 0.02586 F2: 0.01888 Total predictions: 11000 True positives: 32 False positives: 443 False negatives: 1968 True negatives: 8557 ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.76082 Precision: 0.04604 Recall: 0.01600 F1: 0.02375 F2: 0.01840 Total predictions: 11000 True positives: 32 False positives: 663 False negatives: 1968 True negatives: 8337 ['poi', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.79758 Precision: 0.16327 Recall: 0.05200 F1: 0.07888 F2: 0.06021 Total predictions: 12000 True positives: 104 False positives: 533 False negatives: 1896 True negatives: 9467 ['poi', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.76990 Precision: 0.22284 Recall: 0.06050 F1: 0.09516 F2: 0.07082 Total predictions: 10000 True positives: 121 False positives: 422 False negatives: 1879 True negatives: 7578 ['poi', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.80869 Precision: 0.09213 Recall: 0.02750 F1: 0.04236 F2: 0.03199 Total predictions: 13000 True positives: 55 False positives: 542 False negatives: 1945 True negatives: 10458 ['poi', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.83546 Precision: 0.42388 Recall: 0.19350 F1: 0.26571 F2: 0.21710 Total predictions: 13000 True positives: 387 False positives: 526 False negatives: 1613 True negatives: 10474 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.32378 Precision: 0.14112 Recall: 1.00000 F1: 0.24734 F2: 0.45102 Total predictions: 9000 True positives: 1000 False positives: 6086 False negatives: 0 True negatives: 1914 ['poi', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.32518 Precision: 0.21225 Recall: 1.00000 F1: 0.35017 F2: 0.57395 Total predictions: 11000 True positives: 2000 False positives: 7423 False negatives: 0 True negatives: 1577 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.25807 Precision: 0.16146 Recall: 1.00000 F1: 0.27803 F2: 0.49051 Total predictions: 14000 True positives: 2000 False positives: 10387 False negatives: 0 True negatives: 1613 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.32309 Precision: 0.21173 Recall: 1.00000 F1: 0.34947 F2: 0.57320 Total predictions: 11000 True positives: 2000 False positives: 7446 False negatives: 0 True negatives: 1554 ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.32145 Precision: 0.20420 Recall: 0.94300 F1: 0.33571 F2: 0.54711 Total predictions: 11000 True positives: 1886 False positives: 7350 False negatives: 114 True negatives: 1650 ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.27662 Precision: 0.17446 Recall: 0.99200 F1: 0.29674 F2: 0.51208 Total predictions: 13000 True positives: 1984 False positives: 9388 False negatives: 16 True negatives: 1612 ['poi', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.30500 Precision: 0.19295 Recall: 0.99600 F1: 0.32327 F2: 0.54355 Total predictions: 12000 True positives: 1992 False positives: 8332 False negatives: 8 True negatives: 1668 ['poi', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.33208 Precision: 0.16702 Recall: 0.83800 F1: 0.27852 F2: 0.46465 Total predictions: 13000 True positives: 1676 False positives: 8359 False negatives: 324 True negatives: 2641 ['poi', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27531 Precision: 0.17512 Recall: 1.00000 F1: 0.29804 F2: 0.51491 Total predictions: 13000 True positives: 2000 False positives: 9421 False negatives: 0 True negatives: 1579 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.24480 Precision: 0.20932 Recall: 0.99950 F1: 0.34615 F2: 0.56952 Total predictions: 10000 True positives: 1999 False positives: 7551 False negatives: 1 True negatives: 449 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20038 Precision: 0.15793 Recall: 0.96900 F1: 0.27160 F2: 0.47802 Total predictions: 13000 True positives: 1938 False positives: 10333 False negatives: 62 True negatives: 667 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.23740 Precision: 0.20777 Recall: 1.00000 F1: 0.34406 F2: 0.56734 Total predictions: 10000 True positives: 2000 False positives: 7626 False negatives: 0 True negatives: 374 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.23030 Precision: 0.19752 Recall: 0.93000 F1: 0.32583 F2: 0.53396 Total predictions: 10000 True positives: 1860 False positives: 7557 False negatives: 140 True negatives: 443 ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20000 Precision: 0.17196 Recall: 0.99600 F1: 0.29329 F2: 0.50858 Total predictions: 12000 True positives: 1992 False positives: 9592 False negatives: 8 True negatives: 408 ['poi', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.23920 Precision: 0.20706 Recall: 0.99100 F1: 0.34255 F2: 0.56397 Total predictions: 10000 True positives: 1982 False positives: 7590 False negatives: 18 True negatives: 410 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.22754 Precision: 0.15264 Recall: 0.88350 F1: 0.26031 F2: 0.45132 Total predictions: 13000 True positives: 1767 False positives: 9809 False negatives: 233 True negatives: 1191 ['poi', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20925 Precision: 0.17260 Recall: 0.98700 F1: 0.29382 F2: 0.50779 Total predictions: 12000 True positives: 1974 False positives: 9463 False negatives: 26 True negatives: 537 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.83438 Precision: 0.44609 Recall: 0.31650 F1: 0.37028 F2: 0.33602 Total predictions: 13000 True positives: 633 False positives: 786 False negatives: 1367 True negatives: 10214 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81727 Precision: 0.49482 Recall: 0.23900 F1: 0.32232 F2: 0.26656 Total predictions: 11000 True positives: 478 False positives: 488 False negatives: 1522 True negatives: 8512 ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79527 Precision: 0.37954 Recall: 0.19850 F1: 0.26067 F2: 0.21943 Total predictions: 11000 True positives: 397 False positives: 649 False negatives: 1603 True negatives: 8351 ['poi', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.81200 Precision: 0.38427 Recall: 0.21250 F1: 0.27366 F2: 0.23336 Total predictions: 12000 True positives: 425 False positives: 681 False negatives: 1575 True negatives: 9319 ['poi', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.77300 Precision: 0.36969 Recall: 0.19150 F1: 0.25231 F2: 0.21193 Total predictions: 10000 True positives: 383 False positives: 653 False negatives: 1617 True negatives: 7347 ['poi', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.82123 Precision: 0.31293 Recall: 0.13550 F1: 0.18911 F2: 0.15283 Total predictions: 13000 True positives: 271 False positives: 595 False negatives: 1729 True negatives: 10405 ['poi', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.83862 Precision: 0.46254 Recall: 0.30250 F1: 0.36578 F2: 0.32499 Total predictions: 13000 True positives: 605 False positives: 703 False negatives: 1395 True negatives: 10297 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83569 Precision: 0.43704 Recall: 0.23600 F1: 0.30649 F2: 0.25991 Total predictions: 13000 True positives: 472 False positives: 608 False negatives: 1528 True negatives: 10392 ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83685 Precision: 0.44309 Recall: 0.23550 F1: 0.30754 F2: 0.25985 Total predictions: 13000 True positives: 471 False positives: 592 False negatives: 1529 True negatives: 10408 ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84877 Precision: 0.51554 Recall: 0.28200 F1: 0.36458 F2: 0.31009 Total predictions: 13000 True positives: 564 False positives: 530 False negatives: 1436 True negatives: 10470 ['poi', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.83938 Precision: 0.45872 Recall: 0.24450 F1: 0.31898 F2: 0.26969 Total predictions: 13000 True positives: 489 False positives: 577 False negatives: 1511 True negatives: 10423 ['poi', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.83907 Precision: 0.31681 Recall: 0.17900 F1: 0.22875 F2: 0.19606 Total predictions: 15000 True positives: 358 False positives: 772 False negatives: 1642 True negatives: 12228 ['poi', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83523 Precision: 0.44564 Recall: 0.29100 F1: 0.35209 F2: 0.31270 Total predictions: 13000 True positives: 582 False positives: 724 False negatives: 1418 True negatives: 10276 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.76280 Precision: 0.13241 Recall: 0.03350 F1: 0.05347 F2: 0.03938 Total predictions: 10000 True positives: 67 False positives: 439 False negatives: 1933 True negatives: 7561 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80275 Precision: 0.28386 Recall: 0.12050 F1: 0.16918 F2: 0.13617 Total predictions: 12000 True positives: 241 False positives: 608 False negatives: 1759 True negatives: 9392 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80091 Precision: 0.35385 Recall: 0.11500 F1: 0.17358 F2: 0.13295 Total predictions: 11000 True positives: 230 False positives: 420 False negatives: 1770 True negatives: 8580 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82523 Precision: 0.22908 Recall: 0.05750 F1: 0.09193 F2: 0.06763 Total predictions: 13000 True positives: 115 False positives: 387 False negatives: 1885 True negatives: 10613 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83085 Precision: 0.42008 Recall: 0.26150 F1: 0.32234 F2: 0.28286 Total predictions: 13000 True positives: 523 False positives: 722 False negatives: 1477 True negatives: 10278 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79633 Precision: 0.23381 Recall: 0.09750 F1: 0.13761 F2: 0.11037 Total predictions: 12000 True positives: 195 False positives: 639 False negatives: 1805 True negatives: 9361 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79100 Precision: 0.31052 Recall: 0.12250 F1: 0.17569 F2: 0.13938 Total predictions: 11000 True positives: 245 False positives: 544 False negatives: 1755 True negatives: 8456 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82577 Precision: 0.24953 Recall: 0.06600 F1: 0.10439 F2: 0.07738 Total predictions: 13000 True positives: 132 False positives: 397 False negatives: 1868 True negatives: 10603 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83615 Precision: 0.44155 Recall: 0.24550 F1: 0.31555 F2: 0.26942 Total predictions: 13000 True positives: 491 False positives: 621 False negatives: 1509 True negatives: 10379 ['poi', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.81392 Precision: 0.34651 Recall: 0.13150 F1: 0.19065 F2: 0.15013 Total predictions: 12000 True positives: 263 False positives: 496 False negatives: 1737 True negatives: 9504 ['poi', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82157 Precision: 0.18159 Recall: 0.07100 F1: 0.10208 F2: 0.08085 Total predictions: 14000 True positives: 142 False positives: 640 False negatives: 1858 True negatives: 11360 ['poi', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84046 Precision: 0.46977 Recall: 0.28750 F1: 0.35670 F2: 0.31169 Total predictions: 13000 True positives: 575 False positives: 649 False negatives: 1425 True negatives: 10351 ['poi', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.82185 Precision: 0.23220 Recall: 0.06850 F1: 0.10579 F2: 0.07974 Total predictions: 13000 True positives: 137 False positives: 453 False negatives: 1863 True negatives: 10547 ['poi', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.84308 Precision: 0.48145 Recall: 0.25950 F1: 0.33723 F2: 0.28586 Total predictions: 13000 True positives: 519 False positives: 559 False negatives: 1481 True negatives: 10441 ['poi', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84193 Precision: 0.38511 Recall: 0.17850 F1: 0.24394 F2: 0.19996 Total predictions: 14000 True positives: 357 False positives: 570 False negatives: 1643 True negatives: 11430 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.30900 Precision: 0.11583 Recall: 0.89100 F1: 0.20502 F2: 0.38103 Total predictions: 10000 True positives: 891 False positives: 6801 False negatives: 109 True negatives: 2199 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.27823 Precision: 0.16842 Recall: 0.93750 F1: 0.28554 F2: 0.48999 Total predictions: 13000 True positives: 1875 False positives: 9258 False negatives: 125 True negatives: 1742 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.37109 Precision: 0.12629 Recall: 1.00000 F1: 0.22427 F2: 0.41953 Total predictions: 11000 True positives: 1000 False positives: 6918 False negatives: 0 True negatives: 3082 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.28370 Precision: 0.12250 Recall: 1.00000 F1: 0.21827 F2: 0.41108 Total predictions: 10000 True positives: 1000 False positives: 7163 False negatives: 0 True negatives: 1837 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.27890 Precision: 0.11731 Recall: 0.95200 F1: 0.20889 F2: 0.39290 Total predictions: 10000 True positives: 952 False positives: 7163 False negatives: 48 True negatives: 1837 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.27210 Precision: 0.10810 Recall: 0.86600 F1: 0.19221 F2: 0.36050 Total predictions: 10000 True positives: 866 False positives: 7145 False negatives: 134 True negatives: 1855 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.30125 Precision: 0.19158 Recall: 0.99150 F1: 0.32111 F2: 0.54030 Total predictions: 12000 True positives: 1983 False positives: 8368 False negatives: 17 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.30117 Precision: 0.19150 Recall: 0.99100 F1: 0.32097 F2: 0.54005 Total predictions: 12000 True positives: 1982 False positives: 8368 False negatives: 18 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.25093 Precision: 0.15385 Recall: 0.94300 F1: 0.26453 F2: 0.46547 Total predictions: 14000 True positives: 1886 False positives: 10373 False negatives: 114 True negatives: 1627 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.28500 Precision: 0.17690 Recall: 0.99850 F1: 0.30055 F2: 0.51765 Total predictions: 13000 True positives: 1997 False positives: 9292 False negatives: 3 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.30046 Precision: 0.16726 Recall: 0.89150 F1: 0.28167 F2: 0.47776 Total predictions: 13000 True positives: 1783 False positives: 8877 False negatives: 217 True negatives: 2123 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.39155 Precision: 0.12263 Recall: 0.92500 F1: 0.21655 F2: 0.40068 Total predictions: 11000 True positives: 925 False positives: 6618 False negatives: 75 True negatives: 3382 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.30520 Precision: 0.11862 Recall: 0.92500 F1: 0.21028 F2: 0.39202 Total predictions: 10000 True positives: 925 False positives: 6873 False negatives: 75 True negatives: 2127 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.33292 Precision: 0.19278 Recall: 0.94200 F1: 0.32005 F2: 0.53002 Total predictions: 12000 True positives: 1884 False positives: 7889 False negatives: 116 True negatives: 2111 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.28400 Precision: 0.16035 Recall: 0.94700 F1: 0.27425 F2: 0.47799 Total predictions: 14000 True positives: 1894 False positives: 9918 False negatives: 106 True negatives: 2082 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.31530 Precision: 0.12018 Recall: 0.92500 F1: 0.21272 F2: 0.39540 Total predictions: 10000 True positives: 925 False positives: 6772 False negatives: 75 True negatives: 2228 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.30510 Precision: 0.11860 Recall: 0.92500 F1: 0.21025 F2: 0.39198 Total predictions: 10000 True positives: 925 False positives: 6874 False negatives: 75 True negatives: 2126 ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.31950 Precision: 0.18808 Recall: 0.92950 F1: 0.31286 F2: 0.51974 Total predictions: 12000 True positives: 1859 False positives: 8025 False negatives: 141 True negatives: 1975 ['poi', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.31925 Precision: 0.18796 Recall: 0.92900 F1: 0.31266 F2: 0.51943 Total predictions: 12000 True positives: 1858 False positives: 8027 False negatives: 142 True negatives: 1973 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26857 Precision: 0.15031 Recall: 0.88550 F1: 0.25700 F2: 0.44763 Total predictions: 14000 True positives: 1771 False positives: 10011 False negatives: 229 True negatives: 1989 ['poi', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.30708 Precision: 0.17320 Recall: 0.92850 F1: 0.29194 F2: 0.49594 Total predictions: 13000 True positives: 1857 False positives: 8865 False negatives: 143 True negatives: 2135 ['poi', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.43936 Precision: 0.23750 Recall: 0.94250 F1: 0.37939 F2: 0.59139 Total predictions: 11000 True positives: 1885 False positives: 6052 False negatives: 115 True negatives: 2948 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.35800 Precision: 0.23068 Recall: 0.94650 F1: 0.37096 F2: 0.58404 Total predictions: 10000 True positives: 1893 False positives: 6313 False negatives: 107 True negatives: 1687 ['poi', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.34009 Precision: 0.20806 Recall: 0.93700 F1: 0.34051 F2: 0.55095 Total predictions: 11000 True positives: 1874 False positives: 7133 False negatives: 126 True negatives: 1867 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.26721 Precision: 0.15762 Recall: 0.95050 F1: 0.27039 F2: 0.47380 Total predictions: 14000 True positives: 1901 False positives: 10160 False negatives: 99 True negatives: 1840 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.30875 Precision: 0.18666 Recall: 0.93750 F1: 0.31133 F2: 0.51953 Total predictions: 12000 True positives: 1875 False positives: 8170 False negatives: 125 True negatives: 1830 ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.31673 Precision: 0.19478 Recall: 0.88000 F1: 0.31896 F2: 0.51655 Total predictions: 11000 True positives: 1760 False positives: 7276 False negatives: 240 True negatives: 1724 ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.30217 Precision: 0.18483 Recall: 0.93450 F1: 0.30862 F2: 0.51596 Total predictions: 12000 True positives: 1869 False positives: 8243 False negatives: 131 True negatives: 1757 ['poi', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.34036 Precision: 0.20871 Recall: 0.94150 F1: 0.34168 F2: 0.55311 Total predictions: 11000 True positives: 1883 False positives: 7139 False negatives: 117 True negatives: 1861 ['poi', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.27877 Precision: 0.16977 Recall: 0.94800 F1: 0.28797 F2: 0.49457 Total predictions: 13000 True positives: 1896 False positives: 9272 False negatives: 104 True negatives: 1728 ['poi', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.27815 Precision: 0.16947 Recall: 0.94650 F1: 0.28747 F2: 0.49374 Total predictions: 13000 True positives: 1893 False positives: 9277 False negatives: 107 True negatives: 1723 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.45927 Precision: 0.25164 Recall: 1.00000 F1: 0.40209 F2: 0.62704 Total predictions: 11000 True positives: 2000 False positives: 5948 False negatives: 0 True negatives: 3052 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.34543 Precision: 0.17915 Recall: 1.00000 F1: 0.30386 F2: 0.52181 Total predictions: 14000 True positives: 2000 False positives: 9164 False negatives: 0 True negatives: 2836 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.41860 Precision: 0.14676 Recall: 1.00000 F1: 0.25595 F2: 0.46236 Total predictions: 10000 True positives: 1000 False positives: 5814 False negatives: 0 True negatives: 3186 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.45278 Precision: 0.16099 Recall: 0.93200 F1: 0.27456 F2: 0.47604 Total predictions: 9000 True positives: 932 False positives: 4857 False negatives: 68 True negatives: 3143 ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.38469 Precision: 0.19936 Recall: 0.99450 F1: 0.33214 F2: 0.55321 Total predictions: 13000 True positives: 1989 False positives: 7988 False negatives: 11 True negatives: 3012 ['poi', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.41467 Precision: 0.22064 Recall: 0.99200 F1: 0.36099 F2: 0.58380 Total predictions: 12000 True positives: 1984 False positives: 7008 False negatives: 16 True negatives: 2992 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36338 Precision: 0.18863 Recall: 0.95050 F1: 0.31479 F2: 0.52578 Total predictions: 13000 True positives: 1901 False positives: 8177 False negatives: 99 True negatives: 2823 ['poi', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.33967 Precision: 0.11206 Recall: 1.00000 F1: 0.20153 F2: 0.38688 Total predictions: 12000 True positives: 1000 False positives: 7924 False negatives: 0 True negatives: 3076 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.32500 Precision: 0.14134 Recall: 1.00000 F1: 0.24768 F2: 0.45147 Total predictions: 9000 True positives: 1000 False positives: 6075 False negatives: 0 True negatives: 1925 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.35800 Precision: 0.15591 Recall: 0.93700 F1: 0.26733 F2: 0.46803 Total predictions: 8000 True positives: 937 False positives: 5073 False negatives: 63 True negatives: 1927 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.33573 Precision: 0.21452 Recall: 0.99700 F1: 0.35308 F2: 0.57647 Total predictions: 11000 True positives: 1994 False positives: 7301 False negatives: 6 True negatives: 1699 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.34709 Precision: 0.21732 Recall: 0.99600 F1: 0.35680 F2: 0.58022 Total predictions: 11000 True positives: 1992 False positives: 7174 False negatives: 8 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.25691 Precision: 0.10900 Recall: 1.00000 F1: 0.19658 F2: 0.37954 Total predictions: 11000 True positives: 1000 False positives: 8174 False negatives: 0 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.28662 Precision: 0.17740 Recall: 1.00000 F1: 0.30134 F2: 0.51883 Total predictions: 13000 True positives: 2000 False positives: 9274 False negatives: 0 True negatives: 1726 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.33718 Precision: 0.21526 Recall: 1.00000 F1: 0.35426 F2: 0.57834 Total predictions: 11000 True positives: 2000 False positives: 7291 False negatives: 0 True negatives: 1709 ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.33464 Precision: 0.20629 Recall: 0.93400 F1: 0.33795 F2: 0.54764 Total predictions: 11000 True positives: 1868 False positives: 7187 False negatives: 132 True negatives: 1813 ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.31667 Precision: 0.19560 Recall: 0.99600 F1: 0.32699 F2: 0.54773 Total predictions: 12000 True positives: 1992 False positives: 8192 False negatives: 8 True negatives: 1808 ['poi', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.34727 Precision: 0.21750 Recall: 0.99700 F1: 0.35709 F2: 0.58073 Total predictions: 11000 True positives: 1994 False positives: 7174 False negatives: 6 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.28800 Precision: 0.17768 Recall: 1.00000 F1: 0.30175 F2: 0.51932 Total predictions: 13000 True positives: 2000 False positives: 9256 False negatives: 0 True negatives: 1744 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.28600 Precision: 0.17727 Recall: 1.00000 F1: 0.30116 F2: 0.51862 Total predictions: 13000 True positives: 2000 False positives: 9282 False negatives: 0 True negatives: 1718 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.25073 Precision: 0.14512 Recall: 0.94450 F1: 0.25158 F2: 0.44940 Total predictions: 15000 True positives: 1889 False positives: 11128 False negatives: 111 True negatives: 1872 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.31267 Precision: 0.13345 Recall: 0.94400 F1: 0.23384 F2: 0.42622 Total predictions: 9000 True positives: 944 False positives: 6130 False negatives: 56 True negatives: 1870 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30200 Precision: 0.19210 Recall: 0.99450 F1: 0.32200 F2: 0.54184 Total predictions: 12000 True positives: 1989 False positives: 8365 False negatives: 11 True negatives: 1635 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31025 Precision: 0.19354 Recall: 0.99100 F1: 0.32383 F2: 0.54328 Total predictions: 12000 True positives: 1982 False positives: 8259 False negatives: 18 True negatives: 1741 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26336 Precision: 0.15708 Recall: 0.95200 F1: 0.26967 F2: 0.47314 Total predictions: 14000 True positives: 1904 False positives: 10217 False negatives: 96 True negatives: 1783 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.29008 Precision: 0.17811 Recall: 1.00000 F1: 0.30237 F2: 0.52005 Total predictions: 13000 True positives: 2000 False positives: 9229 False negatives: 0 True negatives: 1771 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.30692 Precision: 0.18600 Recall: 0.93550 F1: 0.31031 F2: 0.51802 Total predictions: 12000 True positives: 1871 False positives: 8188 False negatives: 129 True negatives: 1812 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30992 Precision: 0.18617 Recall: 0.93150 F1: 0.31032 F2: 0.51730 Total predictions: 12000 True positives: 1863 False positives: 8144 False negatives: 137 True negatives: 1856 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26029 Precision: 0.15545 Recall: 0.94250 F1: 0.26688 F2: 0.46830 Total predictions: 14000 True positives: 1885 False positives: 10241 False negatives: 115 True negatives: 1759 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.30292 Precision: 0.19296 Recall: 1.00000 F1: 0.32349 F2: 0.54451 Total predictions: 12000 True positives: 2000 False positives: 8365 False negatives: 0 True negatives: 1635 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.30775 Precision: 0.19345 Recall: 0.99500 F1: 0.32392 F2: 0.54410 Total predictions: 12000 True positives: 1990 False positives: 8297 False negatives: 10 True negatives: 1703 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.25300 Precision: 0.15381 Recall: 0.93950 F1: 0.26435 F2: 0.46473 Total predictions: 14000 True positives: 1879 False positives: 10337 False negatives: 121 True negatives: 1663 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.27700 Precision: 0.17013 Recall: 0.95400 F1: 0.28876 F2: 0.49649 Total predictions: 13000 True positives: 1908 False positives: 9307 False negatives: 92 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.25621 Precision: 0.15455 Recall: 0.94100 F1: 0.26550 F2: 0.46637 Total predictions: 14000 True positives: 1882 False positives: 10295 False negatives: 118 True negatives: 1705 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.76692 Precision: 0.06919 Recall: 0.03200 F1: 0.04376 F2: 0.03585 Total predictions: 12000 True positives: 64 False positives: 861 False negatives: 1936 True negatives: 9139 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.29220 Precision: 0.11725 Recall: 0.93100 F1: 0.20828 F2: 0.38987 Total predictions: 10000 True positives: 931 False positives: 7009 False negatives: 69 True negatives: 1991 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.18778 Precision: 0.10924 Recall: 0.88200 F1: 0.19440 F2: 0.36525 Total predictions: 9000 True positives: 882 False positives: 7192 False negatives: 118 True negatives: 808 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.78036 Precision: 0.32253 Recall: 0.18900 F1: 0.23834 F2: 0.20606 Total predictions: 11000 True positives: 378 False positives: 794 False negatives: 1622 True negatives: 8206 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.85521 Precision: 0.48802 Recall: 0.27500 F1: 0.35177 F2: 0.30130 Total predictions: 14000 True positives: 550 False positives: 577 False negatives: 1450 True negatives: 11423 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.78722 Precision: 0.08143 Recall: 0.08900 F1: 0.08505 F2: 0.08737 Total predictions: 9000 True positives: 89 False positives: 1004 False negatives: 911 True negatives: 6996 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.79300 Precision: 0.21596 Recall: 0.09200 F1: 0.12903 F2: 0.10393 Total predictions: 12000 True positives: 184 False positives: 668 False negatives: 1816 True negatives: 9332 ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.79967 Precision: 0.29175 Recall: 0.14150 F1: 0.19057 F2: 0.15775 Total predictions: 12000 True positives: 283 False positives: 687 False negatives: 1717 True negatives: 9313 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.82229 Precision: 0.15634 Recall: 0.05550 F1: 0.08192 F2: 0.06372 Total predictions: 14000 True positives: 111 False positives: 599 False negatives: 1889 True negatives: 11401 ['poi', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.82908 Precision: 0.47796 Recall: 0.27650 F1: 0.35033 F2: 0.30195 Total predictions: 12000 True positives: 553 False positives: 604 False negatives: 1447 True negatives: 9396 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.27454 Precision: 0.16799 Recall: 0.94000 F1: 0.28504 F2: 0.48981 Total predictions: 13000 True positives: 1880 False positives: 9311 False negatives: 120 True negatives: 1689 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.19017 Precision: 0.16267 Recall: 0.93050 F1: 0.27693 F2: 0.47865 Total predictions: 12000 True positives: 1861 False positives: 9579 False negatives: 139 True negatives: 421 ['poi', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.79375 Precision: 0.24100 Recall: 0.11050 F1: 0.15153 F2: 0.12392 Total predictions: 12000 True positives: 221 False positives: 696 False negatives: 1779 True negatives: 9304 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.84179 Precision: 0.38378 Recall: 0.17750 F1: 0.24274 F2: 0.19888 Total predictions: 14000 True positives: 355 False positives: 570 False negatives: 1645 True negatives: 11430 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.77400 Precision: 0.00279 Recall: 0.00100 F1: 0.00147 F2: 0.00115 Total predictions: 12000 True positives: 2 False positives: 714 False negatives: 1998 True negatives: 9286 ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.77275 Precision: 0.00274 Recall: 0.00100 F1: 0.00146 F2: 0.00115 Total predictions: 12000 True positives: 2 False positives: 729 False negatives: 1998 True negatives: 9271 ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.79615 Precision: 0.12558 Recall: 0.05450 F1: 0.07601 F2: 0.06146 Total predictions: 13000 True positives: 109 False positives: 759 False negatives: 1891 True negatives: 10241 ['poi', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.79900 Precision: 0.14966 Recall: 0.04400 F1: 0.06801 F2: 0.05123 Total predictions: 12000 True positives: 88 False positives: 500 False negatives: 1912 True negatives: 9500 ['poi', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.82293 Precision: 0.04896 Recall: 0.01300 F1: 0.02055 F2: 0.01524 Total predictions: 14000 True positives: 26 False positives: 505 False negatives: 1974 True negatives: 11495 ['poi', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.84164 Precision: 0.38346 Recall: 0.17850 F1: 0.24360 F2: 0.19987 Total predictions: 14000 True positives: 357 False positives: 574 False negatives: 1643 True negatives: 11426 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.27230 Precision: 0.12082 Recall: 1.00000 F1: 0.21559 F2: 0.40727 Total predictions: 10000 True positives: 1000 False positives: 7277 False negatives: 0 True negatives: 1723 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.24827 Precision: 0.15002 Recall: 0.99400 F1: 0.26069 F2: 0.46772 Total predictions: 15000 True positives: 1988 False positives: 11264 False negatives: 12 True negatives: 1736 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.26840 Precision: 0.11665 Recall: 0.96100 F1: 0.20805 F2: 0.39263 Total predictions: 10000 True positives: 961 False positives: 7277 False negatives: 39 True negatives: 1723 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.26430 Precision: 0.10890 Recall: 0.88500 F1: 0.19393 F2: 0.36489 Total predictions: 10000 True positives: 885 False positives: 7242 False negatives: 115 True negatives: 1758 ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.25986 Precision: 0.16096 Recall: 0.99250 F1: 0.27700 F2: 0.48815 Total predictions: 14000 True positives: 1985 False positives: 10347 False negatives: 15 True negatives: 1653 ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.27638 Precision: 0.17430 Recall: 0.99100 F1: 0.29646 F2: 0.51159 Total predictions: 13000 True positives: 1982 False positives: 9389 False negatives: 18 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.32414 Precision: 0.15607 Recall: 0.84650 F1: 0.26354 F2: 0.44912 Total predictions: 14000 True positives: 1693 False positives: 9155 False negatives: 307 True negatives: 2845 ['poi', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27023 Precision: 0.16845 Recall: 0.95100 F1: 0.28621 F2: 0.49298 Total predictions: 13000 True positives: 1902 False positives: 9389 False negatives: 98 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.21800 Precision: 0.18864 Recall: 1.00000 F1: 0.31741 F2: 0.53758 Total predictions: 11000 True positives: 2000 False positives: 8602 False negatives: 0 True negatives: 398 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.18921 Precision: 0.14769 Recall: 0.98000 F1: 0.25670 F2: 0.46072 Total predictions: 14000 True positives: 1960 False positives: 11311 False negatives: 40 True negatives: 689 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.15067 Precision: 0.11000 Recall: 0.93700 F1: 0.19689 F2: 0.37426 Total predictions: 9000 True positives: 937 False positives: 7581 False negatives: 63 True negatives: 419 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.14356 Precision: 0.10195 Recall: 0.85900 F1: 0.18226 F2: 0.34565 Total predictions: 9000 True positives: 859 False positives: 7567 False negatives: 141 True negatives: 433 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19775 Precision: 0.17071 Recall: 0.98850 F1: 0.29114 F2: 0.50483 Total predictions: 12000 True positives: 1977 False positives: 9604 False negatives: 23 True negatives: 396 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.20100 Precision: 0.17225 Recall: 0.99700 F1: 0.29375 F2: 0.50930 Total predictions: 12000 True positives: 1994 False positives: 9582 False negatives: 6 True negatives: 418 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22086 Precision: 0.13929 Recall: 0.86000 F1: 0.23975 F2: 0.42265 Total predictions: 14000 True positives: 1720 False positives: 10628 False negatives: 280 True negatives: 1372 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20500 Precision: 0.16054 Recall: 0.98550 F1: 0.27611 F2: 0.48602 Total predictions: 13000 True positives: 1971 False positives: 10306 False negatives: 29 True negatives: 694 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.83707 Precision: 0.39986 Recall: 0.28050 F1: 0.32971 F2: 0.29831 Total predictions: 14000 True positives: 561 False positives: 842 False negatives: 1439 True negatives: 11158 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79818 Precision: 0.38956 Recall: 0.19400 F1: 0.25901 F2: 0.21565 Total predictions: 11000 True positives: 388 False positives: 608 False negatives: 1612 True negatives: 8392 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78709 Precision: 0.32038 Recall: 0.15250 F1: 0.20664 F2: 0.17035 Total predictions: 11000 True positives: 305 False positives: 647 False negatives: 1695 True negatives: 8353 ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.79300 Precision: 0.29766 Recall: 0.17800 F1: 0.22278 F2: 0.19356 Total predictions: 12000 True positives: 356 False positives: 840 False negatives: 1644 True negatives: 9160 ['poi', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.80550 Precision: 0.33723 Recall: 0.17300 F1: 0.22868 F2: 0.19167 Total predictions: 12000 True positives: 346 False positives: 680 False negatives: 1654 True negatives: 9320 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.82507 Precision: 0.25938 Recall: 0.12100 F1: 0.16502 F2: 0.13545 Total predictions: 14000 True positives: 242 False positives: 691 False negatives: 1758 True negatives: 11309 ['poi', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.82769 Precision: 0.41215 Recall: 0.28150 F1: 0.33452 F2: 0.30056 Total predictions: 13000 True positives: 563 False positives: 803 False negatives: 1437 True negatives: 10197 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84043 Precision: 0.40118 Recall: 0.23750 F1: 0.29837 F2: 0.25860 Total predictions: 14000 True positives: 475 False positives: 709 False negatives: 1525 True negatives: 11291 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83907 Precision: 0.39396 Recall: 0.23500 F1: 0.29439 F2: 0.25563 Total predictions: 14000 True positives: 470 False positives: 723 False negatives: 1530 True negatives: 11277 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84329 Precision: 0.42139 Recall: 0.26000 F1: 0.32158 F2: 0.28157 Total predictions: 14000 True positives: 520 False positives: 714 False negatives: 1480 True negatives: 11286 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.83336 Precision: 0.36408 Recall: 0.22300 F1: 0.27659 F2: 0.24173 Total predictions: 14000 True positives: 446 False positives: 779 False negatives: 1554 True negatives: 11221 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.84767 Precision: 0.35504 Recall: 0.17450 F1: 0.23399 F2: 0.19426 Total predictions: 15000 True positives: 349 False positives: 634 False negatives: 1651 True negatives: 12366 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84764 Precision: 0.44633 Recall: 0.27650 F1: 0.34146 F2: 0.29927 Total predictions: 14000 True positives: 553 False positives: 686 False negatives: 1447 True negatives: 11314 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78275 Precision: 0.15235 Recall: 0.06650 F1: 0.09259 F2: 0.07495 Total predictions: 12000 True positives: 133 False positives: 740 False negatives: 1867 True negatives: 9260 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79600 Precision: 0.25000 Recall: 0.11200 F1: 0.15470 F2: 0.12590 Total predictions: 12000 True positives: 224 False positives: 672 False negatives: 1776 True negatives: 9328 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82671 Precision: 0.10846 Recall: 0.02950 F1: 0.04638 F2: 0.03453 Total predictions: 14000 True positives: 59 False positives: 485 False negatives: 1941 True negatives: 11515 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82950 Precision: 0.47818 Recall: 0.25200 F1: 0.33006 F2: 0.27833 Total predictions: 12000 True positives: 504 False positives: 550 False negatives: 1496 True negatives: 9450 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77917 Precision: 0.14520 Recall: 0.06650 F1: 0.09122 F2: 0.07459 Total predictions: 12000 True positives: 133 False positives: 783 False negatives: 1867 True negatives: 9217 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78667 Precision: 0.22000 Recall: 0.11000 F1: 0.14667 F2: 0.12222 Total predictions: 12000 True positives: 220 False positives: 780 False negatives: 1780 True negatives: 9220 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82707 Precision: 0.10057 Recall: 0.02650 F1: 0.04195 F2: 0.03108 Total predictions: 14000 True positives: 53 False positives: 474 False negatives: 1947 True negatives: 11526 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82950 Precision: 0.47818 Recall: 0.25200 F1: 0.33006 F2: 0.27833 Total predictions: 12000 True positives: 504 False positives: 550 False negatives: 1496 True negatives: 9450 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.80377 Precision: 0.22911 Recall: 0.11650 F1: 0.15446 F2: 0.12920 Total predictions: 13000 True positives: 233 False positives: 784 False negatives: 1767 True negatives: 10216 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82450 Precision: 0.18912 Recall: 0.06950 F1: 0.10165 F2: 0.07956 Total predictions: 14000 True positives: 139 False positives: 596 False negatives: 1861 True negatives: 11404 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83957 Precision: 0.40495 Recall: 0.26200 F1: 0.31815 F2: 0.28190 Total predictions: 14000 True positives: 524 False positives: 770 False negatives: 1476 True negatives: 11230 ['poi', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82779 Precision: 0.17433 Recall: 0.05500 F1: 0.08362 F2: 0.06372 Total predictions: 14000 True positives: 110 False positives: 521 False negatives: 1890 True negatives: 11479 ['poi', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83377 Precision: 0.42237 Recall: 0.21900 F1: 0.28844 F2: 0.24234 Total predictions: 13000 True positives: 438 False positives: 599 False negatives: 1562 True negatives: 10401 ['poi', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85560 Precision: 0.40438 Recall: 0.17550 F1: 0.24477 F2: 0.19790 Total predictions: 15000 True positives: 351 False positives: 517 False negatives: 1649 True negatives: 12483 ['poi', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees'] Accuracy: 0.30108 Precision: 0.16613 Recall: 0.88150 F1: 0.27958 F2: 0.47362 Total predictions: 13000 True positives: 1763 False positives: 8849 False negatives: 237 True negatives: 2151 ['poi', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.21642 Precision: 0.16175 Recall: 0.88500 F1: 0.27351 F2: 0.46719 Total predictions: 12000 True positives: 1770 False positives: 9173 False negatives: 230 True negatives: 827 ['poi', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus'] Accuracy: 0.79950 Precision: 0.27692 Recall: 0.12600 F1: 0.17320 F2: 0.14141 Total predictions: 12000 True positives: 252 False positives: 658 False negatives: 1748 True negatives: 9342 ['poi', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.84793 Precision: 0.43246 Recall: 0.20650 F1: 0.27953 F2: 0.23060 Total predictions: 14000 True positives: 413 False positives: 542 False negatives: 1587 True negatives: 11458 ['poi', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.77750 Precision: 0.09246 Recall: 0.03800 F1: 0.05386 F2: 0.04307 Total predictions: 12000 True positives: 76 False positives: 746 False negatives: 1924 True negatives: 9254 ['poi', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.74075 Precision: 0.07170 Recall: 0.04650 F1: 0.05641 F2: 0.05002 Total predictions: 12000 True positives: 93 False positives: 1204 False negatives: 1907 True negatives: 8796 ['poi', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.80585 Precision: 0.17892 Recall: 0.07300 F1: 0.10369 F2: 0.08280 Total predictions: 13000 True positives: 146 False positives: 670 False negatives: 1854 True negatives: 10330 ['poi', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'salary'] Accuracy: 0.79808 Precision: 0.19481 Recall: 0.06750 F1: 0.10026 F2: 0.07765 Total predictions: 12000 True positives: 135 False positives: 558 False negatives: 1865 True negatives: 9442 ['poi', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'total_payments'] Accuracy: 0.81607 Precision: 0.04293 Recall: 0.01350 F1: 0.02054 F2: 0.01564 Total predictions: 14000 True positives: 27 False positives: 602 False negatives: 1973 True negatives: 11398 ['poi', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.83857 Precision: 0.38330 Recall: 0.21350 F1: 0.27425 F2: 0.23425 Total predictions: 14000 True positives: 427 False positives: 687 False negatives: 1573 True negatives: 11313 ['poi', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.29040 Precision: 0.11805 Recall: 0.94200 F1: 0.20980 F2: 0.39316 Total predictions: 10000 True positives: 942 False positives: 7038 False negatives: 58 True negatives: 1962 ['poi', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.29120 Precision: 0.15222 Recall: 0.94450 F1: 0.26218 F2: 0.46276 Total predictions: 15000 True positives: 1889 False positives: 10521 False negatives: 111 True negatives: 2479 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29800 Precision: 0.11918 Recall: 0.94200 F1: 0.21159 F2: 0.39567 Total predictions: 10000 True positives: 942 False positives: 6962 False negatives: 58 True negatives: 2038 ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28870 Precision: 0.11779 Recall: 0.94200 F1: 0.20940 F2: 0.39260 Total predictions: 10000 True positives: 942 False positives: 7055 False negatives: 58 True negatives: 1945 ['poi', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.28250 Precision: 0.15763 Recall: 0.92600 F1: 0.26940 F2: 0.46888 Total predictions: 14000 True positives: 1852 False positives: 9897 False negatives: 148 True negatives: 2103 ['poi', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29685 Precision: 0.17138 Recall: 0.93100 F1: 0.28947 F2: 0.49351 Total predictions: 13000 True positives: 1862 False positives: 9003 False negatives: 138 True negatives: 1997 ['poi', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.29607 Precision: 0.15690 Recall: 0.89800 F1: 0.26712 F2: 0.46177 Total predictions: 14000 True positives: 1796 False positives: 9651 False negatives: 204 True negatives: 2349 ['poi', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.31538 Precision: 0.17630 Recall: 0.93950 F1: 0.29689 F2: 0.50354 Total predictions: 13000 True positives: 1879 False positives: 8779 False negatives: 121 True negatives: 2221 ['poi', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.24545 Precision: 0.18619 Recall: 0.93450 F1: 0.31052 F2: 0.51807 Total predictions: 11000 True positives: 1869 False positives: 8169 False negatives: 131 True negatives: 831 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19343 Precision: 0.14480 Recall: 0.94700 F1: 0.25119 F2: 0.44924 Total predictions: 14000 True positives: 1894 False positives: 11186 False negatives: 106 True negatives: 814 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19456 Precision: 0.11488 Recall: 0.93200 F1: 0.20454 F2: 0.38471 Total predictions: 9000 True positives: 932 False positives: 7181 False negatives: 68 True negatives: 819 ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.18289 Precision: 0.11341 Recall: 0.93200 F1: 0.20221 F2: 0.38140 Total predictions: 9000 True positives: 932 False positives: 7286 False negatives: 68 True negatives: 714 ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.22058 Precision: 0.16792 Recall: 0.92950 F1: 0.28445 F2: 0.48739 Total predictions: 12000 True positives: 1859 False positives: 9212 False negatives: 141 True negatives: 788 ['poi', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.22308 Precision: 0.16933 Recall: 0.93750 F1: 0.28685 F2: 0.49153 Total predictions: 12000 True positives: 1875 False positives: 9198 False negatives: 125 True negatives: 802 ['poi', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.22300 Precision: 0.13692 Recall: 0.83700 F1: 0.23534 F2: 0.41382 Total predictions: 14000 True positives: 1674 False positives: 10552 False negatives: 326 True negatives: 1448 ['poi', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20992 Precision: 0.15603 Recall: 0.93800 F1: 0.26756 F2: 0.46846 Total predictions: 13000 True positives: 1876 False positives: 10147 False negatives: 124 True negatives: 853 ['poi', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.85371 Precision: 0.48157 Recall: 0.31350 F1: 0.37977 F2: 0.33702 Total predictions: 14000 True positives: 627 False positives: 675 False negatives: 1373 True negatives: 11325 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79436 Precision: 0.38304 Recall: 0.21450 F1: 0.27500 F2: 0.23520 Total predictions: 11000 True positives: 429 False positives: 691 False negatives: 1571 True negatives: 8309 ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.75591 Precision: 0.28713 Recall: 0.23100 F1: 0.25603 F2: 0.24040 Total predictions: 11000 True positives: 462 False positives: 1147 False negatives: 1538 True negatives: 7853 ['poi', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.80767 Precision: 0.34961 Recall: 0.17900 F1: 0.23677 F2: 0.19836 Total predictions: 12000 True positives: 358 False positives: 666 False negatives: 1642 True negatives: 9334 ['poi', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'from_messages', 'bonus', 'salary'] Accuracy: 0.81250 Precision: 0.36952 Recall: 0.17700 F1: 0.23935 F2: 0.19759 Total predictions: 12000 True positives: 354 False positives: 604 False negatives: 1646 True negatives: 9396 ['poi', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.83443 Precision: 0.29079 Recall: 0.11050 F1: 0.16014 F2: 0.12614 Total predictions: 14000 True positives: 221 False positives: 539 False negatives: 1779 True negatives: 11461 ['poi', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.84669 Precision: 0.50272 Recall: 0.32300 F1: 0.39330 F2: 0.34787 Total predictions: 13000 True positives: 646 False positives: 639 False negatives: 1354 True negatives: 10361 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86393 Precision: 0.54698 Recall: 0.27650 F1: 0.36732 F2: 0.30685 Total predictions: 14000 True positives: 553 False positives: 458 False negatives: 1447 True negatives: 11542 ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86429 Precision: 0.54960 Recall: 0.27700 F1: 0.36835 F2: 0.30750 Total predictions: 14000 True positives: 554 False positives: 454 False negatives: 1446 True negatives: 11546 ['poi', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86186 Precision: 0.53340 Recall: 0.26350 F1: 0.35274 F2: 0.29317 Total predictions: 14000 True positives: 527 False positives: 461 False negatives: 1473 True negatives: 11539 ['poi', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.85136 Precision: 0.46387 Recall: 0.26000 F1: 0.33323 F2: 0.28506 Total predictions: 14000 True positives: 520 False positives: 601 False negatives: 1480 True negatives: 11399 ['poi', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.85400 Precision: 0.39560 Recall: 0.18000 F1: 0.24742 F2: 0.20202 Total predictions: 15000 True positives: 360 False positives: 550 False negatives: 1640 True negatives: 12450 ['poi', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84357 Precision: 0.42692 Recall: 0.27750 F1: 0.33636 F2: 0.29839 Total predictions: 14000 True positives: 555 False positives: 745 False negatives: 1445 True negatives: 11255 ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.82211 Precision: 0.00657 Recall: 0.00400 F1: 0.00497 F2: 0.00434 Total predictions: 9000 True positives: 4 False positives: 605 False negatives: 996 True negatives: 7395 ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80167 Precision: 0.24734 Recall: 0.09300 F1: 0.13517 F2: 0.10626 Total predictions: 12000 True positives: 186 False positives: 566 False negatives: 1814 True negatives: 9434 ['poi', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78442 Precision: 0.25603 Recall: 0.15400 F1: 0.19232 F2: 0.16734 Total predictions: 12000 True positives: 308 False positives: 895 False negatives: 1692 True negatives: 9105 ['poi', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83307 Precision: 0.19083 Recall: 0.05200 F1: 0.08173 F2: 0.06085 Total predictions: 14000 True positives: 104 False positives: 441 False negatives: 1896 True negatives: 11559 ['poi', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84267 Precision: 0.55100 Recall: 0.30250 F1: 0.39057 F2: 0.33249 Total predictions: 12000 True positives: 605 False positives: 493 False negatives: 1395 True negatives: 9507 ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.76925 Precision: 0.18091 Recall: 0.10900 F1: 0.13604 F2: 0.11841 Total predictions: 12000 True positives: 218 False positives: 987 False negatives: 1782 True negatives: 9013 ['poi', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.75342 Precision: 0.19633 Recall: 0.15500 F1: 0.17323 F2: 0.16181 Total predictions: 12000 True positives: 310 False positives: 1269 False negatives: 1690 True negatives: 8731 ['poi', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83214 Precision: 0.18525 Recall: 0.05150 F1: 0.08059 F2: 0.06019 Total predictions: 14000 True positives: 103 False positives: 453 False negatives: 1897 True negatives: 11547 ['poi', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84442 Precision: 0.56221 Recall: 0.30050 F1: 0.39166 F2: 0.33135 Total predictions: 12000 True positives: 601 False positives: 468 False negatives: 1399 True negatives: 9532 ['poi', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.81938 Precision: 0.30272 Recall: 0.13350 F1: 0.18529 F2: 0.15030 Total predictions: 13000 True positives: 267 False positives: 615 False negatives: 1733 True negatives: 10385 ['poi', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.83393 Precision: 0.23140 Recall: 0.07000 F1: 0.10749 F2: 0.08135 Total predictions: 14000 True positives: 140 False positives: 465 False negatives: 1860 True negatives: 11535 ['poi', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84686 Precision: 0.43990 Recall: 0.26350 F1: 0.32958 F2: 0.28648 Total predictions: 14000 True positives: 527 False positives: 671 False negatives: 1473 True negatives: 11329 ['poi', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.83393 Precision: 0.20293 Recall: 0.05550 F1: 0.08716 F2: 0.06494 Total predictions: 14000 True positives: 111 False positives: 436 False negatives: 1889 True negatives: 11564 ['poi', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.84438 Precision: 0.48934 Recall: 0.26400 F1: 0.34297 F2: 0.29078 Total predictions: 13000 True positives: 528 False positives: 551 False negatives: 1472 True negatives: 10449 ['poi', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85940 Precision: 0.43473 Recall: 0.18150 F1: 0.25608 F2: 0.20543 Total predictions: 15000 True positives: 363 False positives: 472 False negatives: 1637 True negatives: 12528 ['poi', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.32082 Precision: 0.20437 Recall: 0.94550 F1: 0.33609 F2: 0.54802 Total predictions: 11000 True positives: 1891 False positives: 7362 False negatives: 109 True negatives: 1638 ['poi', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus'] Accuracy: 0.31755 Precision: 0.20100 Recall: 0.92550 F1: 0.33027 F2: 0.53780 Total predictions: 11000 True positives: 1851 False positives: 7358 False negatives: 149 True negatives: 1642 ['poi', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.25807 Precision: 0.14169 Recall: 0.90250 F1: 0.24493 F2: 0.43517 Total predictions: 15000 True positives: 1805 False positives: 10934 False negatives: 195 True negatives: 2066 ['poi', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27877 Precision: 0.16840 Recall: 0.93650 F1: 0.28547 F2: 0.48975 Total predictions: 13000 True positives: 1873 False positives: 9249 False negatives: 127 True negatives: 1751 ['poi', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29075 Precision: 0.17675 Recall: 0.89000 F1: 0.29492 F2: 0.49250 Total predictions: 12000 True positives: 1780 False positives: 8291 False negatives: 220 True negatives: 1709 ['poi', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.26815 Precision: 0.16676 Recall: 0.94000 F1: 0.28326 F2: 0.48770 Total predictions: 13000 True positives: 1880 False positives: 9394 False negatives: 120 True negatives: 1606 ['poi', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'salary'] Accuracy: 0.30233 Precision: 0.18574 Recall: 0.94150 F1: 0.31027 F2: 0.51908 Total predictions: 12000 True positives: 1883 False positives: 8255 False negatives: 117 True negatives: 1745 ['poi', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'total_payments'] Accuracy: 0.73200 Precision: 0.23519 Recall: 0.32950 F1: 0.27447 F2: 0.30504 Total predictions: 13000 True positives: 659 False positives: 2143 False negatives: 1341 True negatives: 8857 ['poi', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25607 Precision: 0.15515 Recall: 0.94650 F1: 0.26660 F2: 0.46854 Total predictions: 14000 True positives: 1893 False positives: 10308 False negatives: 107 True negatives: 1692 ['poi', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.23320 Precision: 0.19992 Recall: 0.94400 F1: 0.32995 F2: 0.54116 Total predictions: 10000 True positives: 1888 False positives: 7556 False negatives: 112 True negatives: 444 ['poi', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21500 Precision: 0.14229 Recall: 0.89400 F1: 0.24550 F2: 0.43470 Total predictions: 14000 True positives: 1788 False positives: 10778 False negatives: 212 True negatives: 1222 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.20891 Precision: 0.17791 Recall: 0.92550 F1: 0.29845 F2: 0.50288 Total predictions: 11000 True positives: 1851 False positives: 8553 False negatives: 149 True negatives: 447 ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20464 Precision: 0.17228 Recall: 0.88700 F1: 0.28853 F2: 0.48478 Total predictions: 11000 True positives: 1774 False positives: 8523 False negatives: 226 True negatives: 477 ['poi', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19333 Precision: 0.16369 Recall: 0.93450 F1: 0.27858 F2: 0.48125 Total predictions: 12000 True positives: 1869 False positives: 9549 False negatives: 131 True negatives: 451 ['poi', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.22640 Precision: 0.19772 Recall: 0.93800 F1: 0.32660 F2: 0.53637 Total predictions: 10000 True positives: 1876 False positives: 7612 False negatives: 124 True negatives: 388 ['poi', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22623 Precision: 0.14860 Recall: 0.85200 F1: 0.25306 F2: 0.43766 Total predictions: 13000 True positives: 1704 False positives: 9763 False negatives: 296 True negatives: 1237 ['poi', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22669 Precision: 0.15262 Recall: 0.88450 F1: 0.26032 F2: 0.45148 Total predictions: 13000 True positives: 1769 False positives: 9822 False negatives: 231 True negatives: 1178 ['poi', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.84186 Precision: 0.40663 Recall: 0.23300 F1: 0.29625 F2: 0.25476 Total predictions: 14000 True positives: 466 False positives: 680 False negatives: 1534 True negatives: 11320 ['poi', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80045 Precision: 0.35598 Recall: 0.12050 F1: 0.18005 F2: 0.13887 Total predictions: 11000 True positives: 241 False positives: 436 False negatives: 1759 True negatives: 8564 ['poi', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78764 Precision: 0.29808 Recall: 0.12400 F1: 0.17514 F2: 0.14040 Total predictions: 11000 True positives: 248 False positives: 584 False negatives: 1752 True negatives: 8416 ['poi', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.79708 Precision: 0.25914 Recall: 0.11700 F1: 0.16121 F2: 0.13142 Total predictions: 12000 True positives: 234 False positives: 669 False negatives: 1766 True negatives: 9331 ['poi', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'other', 'bonus', 'salary'] Accuracy: 0.78070 Precision: 0.35085 Recall: 0.11350 F1: 0.17151 F2: 0.13126 Total predictions: 10000 True positives: 227 False positives: 420 False negatives: 1773 True negatives: 7580 ['poi', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'total_payments'] Accuracy: 0.81892 Precision: 0.29028 Recall: 0.12250 F1: 0.17229 F2: 0.13851 Total predictions: 13000 True positives: 245 False positives: 599 False negatives: 1755 True negatives: 10401 ['poi', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83831 Precision: 0.44796 Recall: 0.21950 F1: 0.29463 F2: 0.24443 Total predictions: 13000 True positives: 439 False positives: 541 False negatives: 1561 True negatives: 10459 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84571 Precision: 0.40971 Recall: 0.18150 F1: 0.25156 F2: 0.20425 Total predictions: 14000 True positives: 363 False positives: 523 False negatives: 1637 True negatives: 11477 ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85007 Precision: 0.43971 Recall: 0.18050 F1: 0.25594 F2: 0.20463 Total predictions: 14000 True positives: 361 False positives: 460 False negatives: 1639 True negatives: 11540 ['poi', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85150 Precision: 0.45200 Recall: 0.18600 F1: 0.26355 F2: 0.21081 Total predictions: 14000 True positives: 372 False positives: 451 False negatives: 1628 True negatives: 11549 ['poi', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84579 Precision: 0.41037 Recall: 0.18200 F1: 0.25216 F2: 0.20479 Total predictions: 14000 True positives: 364 False positives: 523 False negatives: 1636 True negatives: 11477 ['poi', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.84027 Precision: 0.31530 Recall: 0.16900 F1: 0.22005 F2: 0.18629 Total predictions: 15000 True positives: 338 False positives: 734 False negatives: 1662 True negatives: 12266 ['poi', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84185 Precision: 0.47089 Recall: 0.22650 F1: 0.30587 F2: 0.25273 Total predictions: 13000 True positives: 453 False positives: 509 False negatives: 1547 True negatives: 10491 ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77309 Precision: 0.00400 Recall: 0.00100 F1: 0.00160 F2: 0.00118 Total predictions: 11000 True positives: 2 False positives: 498 False negatives: 1998 True negatives: 8502 ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80446 Precision: 0.13673 Recall: 0.05100 F1: 0.07429 F2: 0.05831 Total predictions: 13000 True positives: 102 False positives: 644 False negatives: 1898 True negatives: 10356 ['poi', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78991 Precision: 0.19806 Recall: 0.05100 F1: 0.08111 F2: 0.05989 Total predictions: 11000 True positives: 102 False positives: 413 False negatives: 1898 True negatives: 8587 ['poi', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.81569 Precision: 0.00746 Recall: 0.00150 F1: 0.00250 F2: 0.00179 Total predictions: 13000 True positives: 3 False positives: 399 False negatives: 1997 True negatives: 10601 ['poi', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84215 Precision: 0.46766 Recall: 0.18800 F1: 0.26819 F2: 0.21354 Total predictions: 13000 True positives: 376 False positives: 428 False negatives: 1624 True negatives: 10572 ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78475 Precision: 0.12387 Recall: 0.04800 F1: 0.06919 F2: 0.05470 Total predictions: 12000 True positives: 96 False positives: 679 False negatives: 1904 True negatives: 9321 ['poi', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78155 Precision: 0.17863 Recall: 0.05600 F1: 0.08527 F2: 0.06491 Total predictions: 11000 True positives: 112 False positives: 515 False negatives: 1888 True negatives: 8485 ['poi', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.81708 Precision: 0.01289 Recall: 0.00250 F1: 0.00419 F2: 0.00298 Total predictions: 13000 True positives: 5 False positives: 383 False negatives: 1995 True negatives: 10617 ['poi', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84108 Precision: 0.45823 Recall: 0.18100 F1: 0.25950 F2: 0.20592 Total predictions: 13000 True positives: 362 False positives: 428 False negatives: 1638 True negatives: 10572 ['poi', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'restricted_stock', 'salary'] Accuracy: 0.79650 Precision: 0.14123 Recall: 0.04350 F1: 0.06651 F2: 0.05049 Total predictions: 12000 True positives: 87 False positives: 529 False negatives: 1913 True negatives: 9471 ['poi', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.82036 Precision: 0.16515 Recall: 0.06350 F1: 0.09173 F2: 0.07241 Total predictions: 14000 True positives: 127 False positives: 642 False negatives: 1873 True negatives: 11358 ['poi', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84736 Precision: 0.42380 Recall: 0.19050 F1: 0.26285 F2: 0.21407 Total predictions: 14000 True positives: 381 False positives: 518 False negatives: 1619 True negatives: 11482 ['poi', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'salary', 'total_payments'] Accuracy: 0.82038 Precision: 0.20249 Recall: 0.05700 F1: 0.08896 F2: 0.06657 Total predictions: 13000 True positives: 114 False positives: 449 False negatives: 1886 True negatives: 10551 ['poi', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83900 Precision: 0.43825 Recall: 0.16500 F1: 0.23974 F2: 0.18851 Total predictions: 13000 True positives: 330 False positives: 423 False negatives: 1670 True negatives: 10577 ['poi', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83914 Precision: 0.36596 Recall: 0.17200 F1: 0.23401 F2: 0.19239 Total predictions: 14000 True positives: 344 False positives: 596 False negatives: 1656 True negatives: 11404 ['poi', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.25800 Precision: 0.16145 Recall: 1.00000 F1: 0.27801 F2: 0.49048 Total predictions: 14000 True positives: 2000 False positives: 10388 False negatives: 0 True negatives: 1612 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.29933 Precision: 0.13687 Recall: 1.00000 F1: 0.24079 F2: 0.44224 Total predictions: 9000 True positives: 1000 False positives: 6306 False negatives: 0 True negatives: 1694 ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.39089 Precision: 0.25846 Recall: 0.93150 F1: 0.40465 F2: 0.61251 Total predictions: 9000 True positives: 1863 False positives: 5345 False negatives: 137 True negatives: 1655 ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.28031 Precision: 0.17543 Recall: 0.99400 F1: 0.29823 F2: 0.51417 Total predictions: 13000 True positives: 1988 False positives: 9344 False negatives: 12 True negatives: 1656 ['poi', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.32400 Precision: 0.21110 Recall: 0.99300 F1: 0.34818 F2: 0.57043 Total predictions: 11000 True positives: 1986 False positives: 7422 False negatives: 14 True negatives: 1578 ['poi', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22817 Precision: 0.09745 Recall: 1.00000 F1: 0.17759 F2: 0.35058 Total predictions: 12000 True positives: 1000 False positives: 9262 False negatives: 0 True negatives: 1738 ['poi', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.26043 Precision: 0.16189 Recall: 1.00000 F1: 0.27867 F2: 0.49130 Total predictions: 14000 True positives: 2000 False positives: 10354 False negatives: 0 True negatives: 1646 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.31100 Precision: 0.20092 Recall: 0.93700 F1: 0.33089 F2: 0.54077 Total predictions: 11000 True positives: 1874 False positives: 7453 False negatives: 126 True negatives: 1547 ['poi', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.28015 Precision: 0.17546 Recall: 0.99450 F1: 0.29829 F2: 0.51433 Total predictions: 13000 True positives: 1989 False positives: 9347 False negatives: 11 True negatives: 1653 ['poi', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'director_fees', 'bonus', 'salary'] Accuracy: 0.32409 Precision: 0.21112 Recall: 0.99300 F1: 0.34821 F2: 0.57046 Total predictions: 11000 True positives: 1986 False positives: 7421 False negatives: 14 True negatives: 1579 ['poi', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.60685 Precision: 0.22008 Recall: 0.61150 F1: 0.32367 F2: 0.45106 Total predictions: 13000 True positives: 1223 False positives: 4334 False negatives: 777 True negatives: 6666 ['poi', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.26086 Precision: 0.16197 Recall: 1.00000 F1: 0.27878 F2: 0.49145 Total predictions: 14000 True positives: 2000 False positives: 10348 False negatives: 0 True negatives: 1652 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.25843 Precision: 0.16152 Recall: 1.00000 F1: 0.27813 F2: 0.49063 Total predictions: 14000 True positives: 2000 False positives: 10382 False negatives: 0 True negatives: 1618 ['poi', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.25621 Precision: 0.16090 Recall: 0.99800 F1: 0.27713 F2: 0.48910 Total predictions: 14000 True positives: 1996 False positives: 10409 False negatives: 4 True negatives: 1591 ['poi', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.24867 Precision: 0.15072 Recall: 1.00000 F1: 0.26195 F2: 0.47015 Total predictions: 15000 True positives: 2000 False positives: 11270 False negatives: 0 True negatives: 1730 ['poi', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.75633 Precision: 0.24003 Recall: 0.38200 F1: 0.29481 F2: 0.34159 Total predictions: 15000 True positives: 764 False positives: 2419 False negatives: 1236 True negatives: 10581 ['poi', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.33386 Precision: 0.15983 Recall: 0.86050 F1: 0.26958 F2: 0.45849 Total predictions: 14000 True positives: 1721 False positives: 9047 False negatives: 279 True negatives: 2953 ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.35860 Precision: 0.22706 Recall: 0.91800 F1: 0.36407 F2: 0.57068 Total predictions: 10000 True positives: 1836 False positives: 6250 False negatives: 164 True negatives: 1750 ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27477 Precision: 0.17438 Recall: 0.99450 F1: 0.29673 F2: 0.51247 Total predictions: 13000 True positives: 1989 False positives: 9417 False negatives: 11 True negatives: 1583 ['poi', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28269 Precision: 0.17545 Recall: 0.99000 F1: 0.29808 F2: 0.51335 Total predictions: 13000 True positives: 1980 False positives: 9305 False negatives: 20 True negatives: 1695 ['poi', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25750 Precision: 0.15580 Recall: 0.95000 F1: 0.26770 F2: 0.47041 Total predictions: 14000 True positives: 1900 False positives: 10295 False negatives: 100 True negatives: 1705 ['poi', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27292 Precision: 0.17464 Recall: 1.00000 F1: 0.29735 F2: 0.51409 Total predictions: 13000 True positives: 2000 False positives: 9452 False negatives: 0 True negatives: 1548 ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.27100 Precision: 0.16677 Recall: 0.93550 F1: 0.28308 F2: 0.48676 Total predictions: 13000 True positives: 1871 False positives: 9348 False negatives: 129 True negatives: 1652 ['poi', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29158 Precision: 0.18216 Recall: 0.93150 F1: 0.30474 F2: 0.51106 Total predictions: 12000 True positives: 1863 False positives: 8364 False negatives: 137 True negatives: 1636 ['poi', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25571 Precision: 0.15503 Recall: 0.94600 F1: 0.26640 F2: 0.46822 Total predictions: 14000 True positives: 1892 False positives: 10312 False negatives: 108 True negatives: 1688 ['poi', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27823 Precision: 0.17570 Recall: 1.00000 F1: 0.29889 F2: 0.51592 Total predictions: 13000 True positives: 2000 False positives: 9383 False negatives: 0 True negatives: 1617 ['poi', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.27500 Precision: 0.17483 Recall: 0.99800 F1: 0.29753 F2: 0.51398 Total predictions: 13000 True positives: 1996 False positives: 9421 False negatives: 4 True negatives: 1579 ['poi', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.70321 Precision: 0.21562 Recall: 0.40850 F1: 0.28226 F2: 0.34651 Total predictions: 14000 True positives: 817 False positives: 2972 False negatives: 1183 True negatives: 9028 ['poi', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.25536 Precision: 0.16097 Recall: 1.00000 F1: 0.27730 F2: 0.48960 Total predictions: 14000 True positives: 2000 False positives: 10425 False negatives: 0 True negatives: 1575 ['poi', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.34477 Precision: 0.17540 Recall: 0.88050 F1: 0.29252 F2: 0.48808 Total predictions: 13000 True positives: 1761 False positives: 8279 False negatives: 239 True negatives: 2721 ['poi', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.26064 Precision: 0.16193 Recall: 1.00000 F1: 0.27873 F2: 0.49138 Total predictions: 14000 True positives: 2000 False positives: 10351 False negatives: 0 True negatives: 1649 ['poi', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74014 Precision: 0.24049 Recall: 0.37950 F1: 0.29441 F2: 0.34018 Total predictions: 14000 True positives: 759 False positives: 2397 False negatives: 1241 True negatives: 9603 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.23000 Precision: 0.16128 Recall: 0.95350 F1: 0.27590 F2: 0.48098 Total predictions: 13000 True positives: 1907 False positives: 9917 False negatives: 93 True negatives: 1083 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.21973 Precision: 0.18898 Recall: 1.00000 F1: 0.31789 F2: 0.53813 Total predictions: 11000 True positives: 2000 False positives: 8583 False negatives: 0 True negatives: 417 ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.22940 Precision: 0.19784 Recall: 0.93400 F1: 0.32652 F2: 0.53549 Total predictions: 10000 True positives: 1868 False positives: 7574 False negatives: 132 True negatives: 426 ['poi', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.20192 Precision: 0.17219 Recall: 0.99500 F1: 0.29358 F2: 0.50877 Total predictions: 12000 True positives: 1990 False positives: 9567 False negatives: 10 True negatives: 433 ['poi', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.23510 Precision: 0.20569 Recall: 0.98700 F1: 0.34043 F2: 0.56089 Total predictions: 10000 True positives: 1974 False positives: 7623 False negatives: 26 True negatives: 377 ['poi', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22438 Precision: 0.15066 Recall: 0.87150 F1: 0.25691 F2: 0.44535 Total predictions: 13000 True positives: 1743 False positives: 9826 False negatives: 257 True negatives: 1174 ['poi', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22469 Precision: 0.16239 Recall: 0.97150 F1: 0.27827 F2: 0.48660 Total predictions: 13000 True positives: 1943 False positives: 10022 False negatives: 57 True negatives: 978 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.17071 Precision: 0.14674 Recall: 0.99800 F1: 0.25586 F2: 0.46199 Total predictions: 14000 True positives: 1996 False positives: 11606 False negatives: 4 True negatives: 394 ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.18446 Precision: 0.15860 Recall: 0.99900 F1: 0.27374 F2: 0.48500 Total predictions: 13000 True positives: 1998 False positives: 10600 False negatives: 2 True negatives: 400 ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.23069 Precision: 0.16008 Recall: 0.94200 F1: 0.27366 F2: 0.47650 Total predictions: 13000 True positives: 1884 False positives: 9885 False negatives: 116 True negatives: 1115 ['poi', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.20229 Precision: 0.14922 Recall: 0.97500 F1: 0.25883 F2: 0.46279 Total predictions: 14000 True positives: 1950 False positives: 11118 False negatives: 50 True negatives: 882 ['poi', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22680 Precision: 0.13294 Recall: 0.86900 F1: 0.23060 F2: 0.41236 Total predictions: 15000 True positives: 1738 False positives: 11336 False negatives: 262 True negatives: 1664 ['poi', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.23731 Precision: 0.16039 Recall: 0.93450 F1: 0.27379 F2: 0.47550 Total predictions: 13000 True positives: 1869 False positives: 9784 False negatives: 131 True negatives: 1216 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.17175 Precision: 0.12573 Recall: 0.94500 F1: 0.22194 F2: 0.41030 Total predictions: 8000 True positives: 945 False positives: 6571 False negatives: 55 True negatives: 429 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.19500 Precision: 0.17091 Recall: 0.99450 F1: 0.29168 F2: 0.50642 Total predictions: 12000 True positives: 1989 False positives: 9649 False negatives: 11 True negatives: 351 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.21564 Precision: 0.18700 Recall: 0.99000 F1: 0.31459 F2: 0.53260 Total predictions: 11000 True positives: 1980 False positives: 8608 False negatives: 20 True negatives: 392 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21657 Precision: 0.14042 Recall: 0.87550 F1: 0.24202 F2: 0.42770 Total predictions: 14000 True positives: 1751 False positives: 10719 False negatives: 249 True negatives: 1281 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.19833 Precision: 0.17206 Recall: 0.99950 F1: 0.29358 F2: 0.50948 Total predictions: 12000 True positives: 1999 False positives: 9619 False negatives: 1 True negatives: 381 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.19183 Precision: 0.16331 Recall: 0.93350 F1: 0.27799 F2: 0.48039 Total predictions: 12000 True positives: 1867 False positives: 9565 False negatives: 133 True negatives: 435 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20791 Precision: 0.17779 Recall: 0.92600 F1: 0.29830 F2: 0.50280 Total predictions: 11000 True positives: 1852 False positives: 8565 False negatives: 148 True negatives: 435 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.23038 Precision: 0.15144 Recall: 0.86950 F1: 0.25795 F2: 0.44629 Total predictions: 13000 True positives: 1739 False positives: 9744 False negatives: 261 True negatives: 1256 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.19633 Precision: 0.17086 Recall: 0.99200 F1: 0.29151 F2: 0.50581 Total predictions: 12000 True positives: 1984 False positives: 9628 False negatives: 16 True negatives: 372 ['poi', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.19892 Precision: 0.17166 Recall: 0.99500 F1: 0.29280 F2: 0.50783 Total predictions: 12000 True positives: 1990 False positives: 9603 False negatives: 10 True negatives: 397 ['poi', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.20914 Precision: 0.13822 Recall: 0.86650 F1: 0.23841 F2: 0.42190 Total predictions: 14000 True positives: 1733 False positives: 10805 False negatives: 267 True negatives: 1195 ['poi', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.22538 Precision: 0.16058 Recall: 0.95450 F1: 0.27491 F2: 0.47994 Total predictions: 13000 True positives: 1909 False positives: 9979 False negatives: 91 True negatives: 1021 ['poi', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22462 Precision: 0.15028 Recall: 0.86800 F1: 0.25620 F2: 0.44394 Total predictions: 13000 True positives: 1736 False positives: 9816 False negatives: 264 True negatives: 1184 ['poi', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.19969 Precision: 0.16020 Recall: 0.99050 F1: 0.27579 F2: 0.48635 Total predictions: 13000 True positives: 1981 False positives: 10385 False negatives: 19 True negatives: 615 ['poi', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22379 Precision: 0.14214 Recall: 0.88050 F1: 0.24477 F2: 0.43185 Total predictions: 14000 True positives: 1761 False positives: 10628 False negatives: 239 True negatives: 1372 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84931 Precision: 0.51748 Recall: 0.30350 F1: 0.38260 F2: 0.33086 Total predictions: 13000 True positives: 607 False positives: 566 False negatives: 1393 True negatives: 10434 ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84762 Precision: 0.50855 Recall: 0.28250 F1: 0.36323 F2: 0.31006 Total predictions: 13000 True positives: 565 False positives: 546 False negatives: 1435 True negatives: 10454 ['poi', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84508 Precision: 0.49413 Recall: 0.29450 F1: 0.36905 F2: 0.32039 Total predictions: 13000 True positives: 589 False positives: 603 False negatives: 1411 True negatives: 10397 ['poi', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.84146 Precision: 0.47589 Recall: 0.30100 F1: 0.36876 F2: 0.32488 Total predictions: 13000 True positives: 602 False positives: 663 False negatives: 1398 True negatives: 10337 ['poi', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84913 Precision: 0.38996 Recall: 0.23300 F1: 0.29171 F2: 0.25340 Total predictions: 15000 True positives: 466 False positives: 729 False negatives: 1534 True negatives: 12271 ['poi', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84300 Precision: 0.48581 Recall: 0.35100 F1: 0.40755 F2: 0.37163 Total predictions: 13000 True positives: 702 False positives: 743 False negatives: 1298 True negatives: 10257 ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78480 Precision: 0.40865 Recall: 0.17000 F1: 0.24011 F2: 0.19248 Total predictions: 10000 True positives: 340 False positives: 492 False negatives: 1660 True negatives: 7508 ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81333 Precision: 0.37780 Recall: 0.18550 F1: 0.24883 F2: 0.20652 Total predictions: 12000 True positives: 371 False positives: 611 False negatives: 1629 True negatives: 9389 ['poi', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79909 Precision: 0.38411 Recall: 0.17400 F1: 0.23950 F2: 0.19537 Total predictions: 11000 True positives: 348 False positives: 558 False negatives: 1652 True negatives: 8442 ['poi', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83146 Precision: 0.35852 Recall: 0.12100 F1: 0.18093 F2: 0.13948 Total predictions: 13000 True positives: 242 False positives: 433 False negatives: 1758 True negatives: 10567 ['poi', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84285 Precision: 0.48170 Recall: 0.28300 F1: 0.35654 F2: 0.30845 Total predictions: 13000 True positives: 566 False positives: 609 False negatives: 1434 True negatives: 10391 ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80592 Precision: 0.33888 Recall: 0.17300 F1: 0.22906 F2: 0.19177 Total predictions: 12000 True positives: 346 False positives: 675 False negatives: 1654 True negatives: 9325 ['poi', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78845 Precision: 0.33860 Recall: 0.17150 F1: 0.22768 F2: 0.19028 Total predictions: 11000 True positives: 343 False positives: 670 False negatives: 1657 True negatives: 8330 ['poi', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83277 Precision: 0.37391 Recall: 0.12900 F1: 0.19182 F2: 0.14845 Total predictions: 13000 True positives: 258 False positives: 432 False negatives: 1742 True negatives: 10568 ['poi', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84662 Precision: 0.50271 Recall: 0.27850 F1: 0.35843 F2: 0.30578 Total predictions: 13000 True positives: 557 False positives: 551 False negatives: 1443 True negatives: 10449 ['poi', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.81008 Precision: 0.36364 Recall: 0.18600 F1: 0.24611 F2: 0.20614 Total predictions: 12000 True positives: 372 False positives: 651 False negatives: 1628 True negatives: 9349 ['poi', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82914 Precision: 0.28834 Recall: 0.13350 F1: 0.18250 F2: 0.14956 Total predictions: 14000 True positives: 267 False positives: 659 False negatives: 1733 True negatives: 11341 ['poi', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84200 Precision: 0.47823 Recall: 0.29650 F1: 0.36605 F2: 0.32089 Total predictions: 13000 True positives: 593 False positives: 647 False negatives: 1407 True negatives: 10353 ['poi', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82677 Precision: 0.33721 Recall: 0.13050 F1: 0.18818 F2: 0.14873 Total predictions: 13000 True positives: 261 False positives: 513 False negatives: 1739 True negatives: 10487 ['poi', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.84277 Precision: 0.48281 Recall: 0.30900 F1: 0.37683 F2: 0.33297 Total predictions: 13000 True positives: 618 False positives: 662 False negatives: 1382 True negatives: 10338 ['poi', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84921 Precision: 0.44739 Recall: 0.23600 F1: 0.30900 F2: 0.26063 Total predictions: 14000 True positives: 472 False positives: 583 False negatives: 1528 True negatives: 11417 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.86154 Precision: 0.61655 Recall: 0.26450 F1: 0.37019 F2: 0.29860 Total predictions: 13000 True positives: 529 False positives: 329 False negatives: 1471 True negatives: 10671 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.86750 Precision: 0.57544 Recall: 0.27650 F1: 0.37352 F2: 0.30856 Total predictions: 14000 True positives: 553 False positives: 408 False negatives: 1447 True negatives: 11592 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85138 Precision: 0.54096 Recall: 0.22450 F1: 0.31731 F2: 0.25425 Total predictions: 13000 True positives: 449 False positives: 381 False negatives: 1551 True negatives: 10619 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85273 Precision: 0.38895 Recall: 0.18300 F1: 0.24889 F2: 0.20468 Total predictions: 15000 True positives: 366 False positives: 575 False negatives: 1634 True negatives: 12425 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83892 Precision: 0.45955 Recall: 0.26700 F1: 0.33776 F2: 0.29142 Total predictions: 13000 True positives: 534 False positives: 628 False negatives: 1466 True negatives: 10372 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85377 Precision: 0.55108 Recall: 0.26700 F1: 0.35972 F2: 0.29769 Total predictions: 13000 True positives: 534 False positives: 435 False negatives: 1466 True negatives: 10565 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.86400 Precision: 0.55825 Recall: 0.23000 F1: 0.32578 F2: 0.26065 Total predictions: 14000 True positives: 460 False positives: 364 False negatives: 1540 True negatives: 11636 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85253 Precision: 0.38723 Recall: 0.18200 F1: 0.24762 F2: 0.20358 Total predictions: 15000 True positives: 364 False positives: 576 False negatives: 1636 True negatives: 12424 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84277 Precision: 0.48157 Recall: 0.28750 F1: 0.36005 F2: 0.31270 Total predictions: 13000 True positives: 575 False positives: 619 False negatives: 1425 True negatives: 10381 ['poi', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.86114 Precision: 0.52917 Recall: 0.25400 F1: 0.34324 F2: 0.28348 Total predictions: 14000 True positives: 508 False positives: 452 False negatives: 1492 True negatives: 11548 ['poi', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85380 Precision: 0.39384 Recall: 0.17900 F1: 0.24613 F2: 0.20092 Total predictions: 15000 True positives: 358 False positives: 551 False negatives: 1642 True negatives: 12449 ['poi', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84569 Precision: 0.49737 Recall: 0.28350 F1: 0.36115 F2: 0.31018 Total predictions: 13000 True positives: 567 False positives: 573 False negatives: 1433 True negatives: 10427 ['poi', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.84920 Precision: 0.36383 Recall: 0.17500 F1: 0.23633 F2: 0.19527 Total predictions: 15000 True positives: 350 False positives: 612 False negatives: 1650 True negatives: 12388 ['poi', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84285 Precision: 0.48065 Recall: 0.26700 F1: 0.34330 F2: 0.29305 Total predictions: 13000 True positives: 534 False positives: 577 False negatives: 1466 True negatives: 10423 ['poi', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84827 Precision: 0.38500 Recall: 0.23100 F1: 0.28875 F2: 0.25109 Total predictions: 15000 True positives: 462 False positives: 738 False negatives: 1538 True negatives: 12262 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80650 Precision: 0.22987 Recall: 0.06850 F1: 0.10555 F2: 0.07969 Total predictions: 12000 True positives: 137 False positives: 459 False negatives: 1863 True negatives: 9541 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78900 Precision: 0.28798 Recall: 0.10900 F1: 0.15814 F2: 0.12447 Total predictions: 11000 True positives: 218 False positives: 539 False negatives: 1782 True negatives: 8461 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83493 Precision: 0.07629 Recall: 0.01400 F1: 0.02366 F2: 0.01673 Total predictions: 14000 True positives: 28 False positives: 339 False negatives: 1972 True negatives: 11661 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84633 Precision: 0.59155 Recall: 0.25200 F1: 0.35344 F2: 0.28468 Total predictions: 12000 True positives: 504 False positives: 348 False negatives: 1496 True negatives: 9652 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81225 Precision: 0.32600 Recall: 0.11850 F1: 0.17382 F2: 0.13579 Total predictions: 12000 True positives: 237 False positives: 490 False negatives: 1763 True negatives: 9510 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82614 Precision: 0.17221 Recall: 0.05700 F1: 0.08565 F2: 0.06580 Total predictions: 14000 True positives: 114 False positives: 548 False negatives: 1886 True negatives: 11452 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86271 Precision: 0.53794 Recall: 0.27650 F1: 0.36526 F2: 0.30627 Total predictions: 14000 True positives: 553 False positives: 475 False negatives: 1447 True negatives: 11525 ['poi', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.83069 Precision: 0.25899 Recall: 0.05400 F1: 0.08937 F2: 0.06416 Total predictions: 13000 True positives: 108 False positives: 309 False negatives: 1892 True negatives: 10691 ['poi', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.85238 Precision: 0.54639 Recall: 0.23850 F1: 0.33206 F2: 0.26879 Total predictions: 13000 True positives: 477 False positives: 396 False negatives: 1523 True negatives: 10604 ['poi', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84893 Precision: 0.43195 Recall: 0.18250 F1: 0.25659 F2: 0.20633 Total predictions: 14000 True positives: 365 False positives: 480 False negatives: 1635 True negatives: 11520 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.80358 Precision: 0.28098 Recall: 0.11450 F1: 0.16270 F2: 0.12989 Total predictions: 12000 True positives: 229 False positives: 586 False negatives: 1771 True negatives: 9414 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82821 Precision: 0.19640 Recall: 0.06550 F1: 0.09824 F2: 0.07557 Total predictions: 14000 True positives: 131 False positives: 536 False negatives: 1869 True negatives: 11464 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84977 Precision: 0.52302 Recall: 0.26700 F1: 0.35353 F2: 0.29598 Total predictions: 13000 True positives: 534 False positives: 487 False negatives: 1466 True negatives: 10513 ['poi', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83100 Precision: 0.27765 Recall: 0.06150 F1: 0.10070 F2: 0.07284 Total predictions: 13000 True positives: 123 False positives: 320 False negatives: 1877 True negatives: 10680 ['poi', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.85169 Precision: 0.54167 Recall: 0.23400 F1: 0.32682 F2: 0.26399 Total predictions: 13000 True positives: 468 False positives: 396 False negatives: 1532 True negatives: 10604 ['poi', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85036 Precision: 0.44256 Recall: 0.18300 F1: 0.25893 F2: 0.20732 Total predictions: 14000 True positives: 366 False positives: 461 False negatives: 1634 True negatives: 11539 ['poi', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82864 Precision: 0.20090 Recall: 0.06700 F1: 0.10049 F2: 0.07730 Total predictions: 14000 True positives: 134 False positives: 533 False negatives: 1866 True negatives: 11467 ['poi', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.86064 Precision: 0.52462 Recall: 0.26100 F1: 0.34858 F2: 0.29016 Total predictions: 14000 True positives: 522 False positives: 473 False negatives: 1478 True negatives: 11527 ['poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85273 Precision: 0.38703 Recall: 0.17900 F1: 0.24479 F2: 0.20056 Total predictions: 15000 True positives: 358 False positives: 567 False negatives: 1642 True negatives: 12433 ['poi', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84321 Precision: 0.39106 Recall: 0.17500 F1: 0.24180 F2: 0.19674 Total predictions: 14000 True positives: 350 False positives: 545 False negatives: 1650 True negatives: 11455 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'expenses'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'expenses'] Accuracy: 0.81162 Precision: 0.32168 Recall: 0.20250 F1: 0.24854 F2: 0.21871 Total predictions: 13000 True positives: 405 False positives: 854 False negatives: 1595 True negatives: 10146 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'deferred_income'] Accuracy: 0.84362 Precision: 0.48512 Recall: 0.26900 F1: 0.34609 F2: 0.29531 Total predictions: 13000 True positives: 538 False positives: 571 False negatives: 1462 True negatives: 10429 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'long_term_incentive'] Accuracy: 0.81667 Precision: 0.41409 Recall: 0.24100 F1: 0.30468 F2: 0.26299 Total predictions: 12000 True positives: 482 False positives: 682 False negatives: 1518 True negatives: 9318 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred'] Accuracy: 0.32617 Precision: 0.19012 Recall: 0.93350 F1: 0.31591 F2: 0.52385 Total predictions: 12000 True positives: 1867 False positives: 7953 False negatives: 133 True negatives: 2047 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi'] Accuracy: 0.78292 Precision: 0.28742 Recall: 0.20450 F1: 0.23897 F2: 0.21702 Total predictions: 12000 True positives: 409 False positives: 1014 False negatives: 1591 True negatives: 8986 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_messages'] Accuracy: 0.71750 Precision: 0.18778 Recall: 0.20900 F1: 0.19782 F2: 0.20438 Total predictions: 12000 True positives: 418 False positives: 1808 False negatives: 1582 True negatives: 8192 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'other'] Accuracy: 0.80358 Precision: 0.23158 Recall: 0.07700 F1: 0.11557 F2: 0.08886 Total predictions: 12000 True positives: 154 False positives: 511 False negatives: 1846 True negatives: 9489 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'director_fees'] Accuracy: 0.29608 Precision: 0.17152 Recall: 0.93350 F1: 0.28979 F2: 0.49431 Total predictions: 13000 True positives: 1867 False positives: 9018 False negatives: 133 True negatives: 1982 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'resto_dirfees'] Accuracy: 0.23258 Precision: 0.17085 Recall: 0.93550 F1: 0.28894 F2: 0.49364 Total predictions: 12000 True positives: 1871 False positives: 9080 False negatives: 129 True negatives: 920 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'bonus'] Accuracy: 0.80758 Precision: 0.35734 Recall: 0.19350 F1: 0.25105 F2: 0.21304 Total predictions: 12000 True positives: 387 False positives: 696 False negatives: 1613 True negatives: 9304 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'total_stock_value'] Accuracy: 0.84836 Precision: 0.44268 Recall: 0.23750 F1: 0.30914 F2: 0.26177 Total predictions: 14000 True positives: 475 False positives: 598 False negatives: 1525 True negatives: 11402 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person'] Accuracy: 0.78275 Precision: 0.28761 Recall: 0.20550 F1: 0.23972 F2: 0.21794 Total predictions: 12000 True positives: 411 False positives: 1018 False negatives: 1589 True negatives: 8982 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi'] Accuracy: 0.79475 Precision: 0.27370 Recall: 0.14000 F1: 0.18525 F2: 0.15516 Total predictions: 12000 True positives: 280 False positives: 743 False negatives: 1720 True negatives: 9257 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'restricted_stock'] Accuracy: 0.81508 Precision: 0.28233 Recall: 0.13100 F1: 0.17896 F2: 0.14673 Total predictions: 13000 True positives: 262 False positives: 666 False negatives: 1738 True negatives: 10334 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'salary'] Accuracy: 0.80467 Precision: 0.34191 Recall: 0.18600 F1: 0.24093 F2: 0.20467 Total predictions: 12000 True positives: 372 False positives: 716 False negatives: 1628 True negatives: 9284 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'total_payments'] Accuracy: 0.82850 Precision: 0.20384 Recall: 0.06900 F1: 0.10310 F2: 0.07952 Total predictions: 14000 True positives: 138 False positives: 539 False negatives: 1862 True negatives: 11461 ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferral_payments', 'exercised_stock_options'] Accuracy: 0.84331 Precision: 0.48263 Recall: 0.25700 F1: 0.33540 F2: 0.28351 Total predictions: 13000 True positives: 514 False positives: 551 False negatives: 1486 True negatives: 10449 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'deferred_income'] Accuracy: 0.85554 Precision: 0.55787 Recall: 0.29400 F1: 0.38507 F2: 0.32472 Total predictions: 13000 True positives: 588 False positives: 466 False negatives: 1412 True negatives: 10534 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'long_term_incentive'] Accuracy: 0.82338 Precision: 0.37542 Recall: 0.22300 F1: 0.27980 F2: 0.24271 Total predictions: 13000 True positives: 446 False positives: 742 False negatives: 1554 True negatives: 10258 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.28485 Precision: 0.17704 Recall: 1.00000 F1: 0.30082 F2: 0.51822 Total predictions: 13000 True positives: 2000 False positives: 9297 False negatives: 0 True negatives: 1703 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.81808 Precision: 0.33364 Recall: 0.18300 F1: 0.23636 F2: 0.20117 Total predictions: 13000 True positives: 366 False positives: 731 False negatives: 1634 True negatives: 10269 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_messages'] Accuracy: 0.79646 Precision: 0.24567 Recall: 0.15600 F1: 0.19083 F2: 0.16828 Total predictions: 13000 True positives: 312 False positives: 958 False negatives: 1688 True negatives: 10042 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'other'] Accuracy: 0.81608 Precision: 0.21708 Recall: 0.07500 F1: 0.11148 F2: 0.08630 Total predictions: 13000 True positives: 150 False positives: 541 False negatives: 1850 True negatives: 10459 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'director_fees'] Accuracy: 0.28138 Precision: 0.17588 Recall: 0.99600 F1: 0.29896 F2: 0.51537 Total predictions: 13000 True positives: 1992 False positives: 9334 False negatives: 8 True negatives: 1666 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'resto_dirfees'] Accuracy: 0.18785 Precision: 0.15910 Recall: 0.99850 F1: 0.27446 F2: 0.48584 Total predictions: 13000 True positives: 1997 False positives: 10555 False negatives: 3 True negatives: 445 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'bonus'] Accuracy: 0.82554 Precision: 0.38644 Recall: 0.22800 F1: 0.28679 F2: 0.24837 Total predictions: 13000 True positives: 456 False positives: 724 False negatives: 1544 True negatives: 10276 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'total_stock_value'] Accuracy: 0.84093 Precision: 0.40942 Recall: 0.25650 F1: 0.31540 F2: 0.27721 Total predictions: 14000 True positives: 513 False positives: 740 False negatives: 1487 True negatives: 11260 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.83108 Precision: 0.39440 Recall: 0.18300 F1: 0.25000 F2: 0.20497 Total predictions: 13000 True positives: 366 False positives: 562 False negatives: 1634 True negatives: 10438 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'from_this_person_to_poi'] Accuracy: 0.82031 Precision: 0.30235 Recall: 0.12850 F1: 0.18035 F2: 0.14520 Total predictions: 13000 True positives: 257 False positives: 593 False negatives: 1743 True negatives: 10407 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'restricted_stock'] Accuracy: 0.82171 Precision: 0.26648 Recall: 0.14150 F1: 0.18485 F2: 0.15615 Total predictions: 14000 True positives: 283 False positives: 779 False negatives: 1717 True negatives: 11221 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'salary'] Accuracy: 0.82185 Precision: 0.35451 Recall: 0.19250 F1: 0.24951 F2: 0.21186 Total predictions: 13000 True positives: 385 False positives: 701 False negatives: 1615 True negatives: 10299 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'total_payments'] Accuracy: 0.82779 Precision: 0.20768 Recall: 0.07300 F1: 0.10803 F2: 0.08388 Total predictions: 14000 True positives: 146 False positives: 557 False negatives: 1854 True negatives: 11443 ['poi', 'to_messages', 'salary_bonus', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'expenses', 'exercised_stock_options'] Accuracy: 0.84407 Precision: 0.42330 Recall: 0.25250 F1: 0.31632 F2: 0.27467 Total predictions: 14000 True positives: 505 False positives: 688 False negatives: 1495 True negatives: 11312 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'long_term_incentive'] Accuracy: 0.85631 Precision: 0.54818 Recall: 0.37550 F1: 0.44570 F2: 0.40075 Total predictions: 13000 True positives: 751 False positives: 619 False negatives: 1249 True negatives: 10381 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.28438 Precision: 0.17694 Recall: 1.00000 F1: 0.30068 F2: 0.51805 Total predictions: 13000 True positives: 2000 False positives: 9303 False negatives: 0 True negatives: 1697 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.83400 Precision: 0.50328 Recall: 0.30700 F1: 0.38137 F2: 0.33297 Total predictions: 12000 True positives: 614 False positives: 606 False negatives: 1386 True negatives: 9394 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_messages'] Accuracy: 0.84883 Precision: 0.57724 Recall: 0.34750 F1: 0.43383 F2: 0.37755 Total predictions: 12000 True positives: 695 False positives: 509 False negatives: 1305 True negatives: 9491 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'other'] Accuracy: 0.83877 Precision: 0.44702 Recall: 0.20250 F1: 0.27873 F2: 0.22737 Total predictions: 13000 True positives: 405 False positives: 501 False negatives: 1595 True negatives: 10499 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'director_fees'] Accuracy: 0.28938 Precision: 0.17797 Recall: 1.00000 F1: 0.30216 F2: 0.51980 Total predictions: 13000 True positives: 2000 False positives: 9238 False negatives: 0 True negatives: 1762 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'resto_dirfees'] Accuracy: 0.19908 Precision: 0.17225 Recall: 1.00000 F1: 0.29388 F2: 0.50992 Total predictions: 12000 True positives: 2000 False positives: 9611 False negatives: 0 True negatives: 389 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'bonus'] Accuracy: 0.85483 Precision: 0.59743 Recall: 0.39550 F1: 0.47593 F2: 0.42417 Total predictions: 12000 True positives: 791 False positives: 533 False negatives: 1209 True negatives: 9467 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'total_stock_value'] Accuracy: 0.84957 Precision: 0.46499 Recall: 0.35200 F1: 0.40068 F2: 0.36998 Total predictions: 14000 True positives: 704 False positives: 810 False negatives: 1296 True negatives: 11190 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.85100 Precision: 0.59266 Recall: 0.33900 F1: 0.43130 F2: 0.37073 Total predictions: 12000 True positives: 678 False positives: 466 False negatives: 1322 True negatives: 9534 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.84492 Precision: 0.55826 Recall: 0.33300 F1: 0.41716 F2: 0.36223 Total predictions: 12000 True positives: 666 False positives: 527 False negatives: 1334 True negatives: 9473 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'restricted_stock'] Accuracy: 0.83938 Precision: 0.46712 Recall: 0.31250 F1: 0.37448 F2: 0.33465 Total predictions: 13000 True positives: 625 False positives: 713 False negatives: 1375 True negatives: 10287 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'salary'] Accuracy: 0.84985 Precision: 0.51987 Recall: 0.31400 F1: 0.39152 F2: 0.34101 Total predictions: 13000 True positives: 628 False positives: 580 False negatives: 1372 True negatives: 10420 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'total_payments'] Accuracy: 0.85321 Precision: 0.47102 Recall: 0.22350 F1: 0.30315 F2: 0.24975 Total predictions: 14000 True positives: 447 False positives: 502 False negatives: 1553 True negatives: 11498 ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.85721 Precision: 0.50037 Recall: 0.34200 F1: 0.40630 F2: 0.36511 Total predictions: 14000 True positives: 684 False positives: 683 False negatives: 1316 True negatives: 11317 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.30958 Precision: 0.19410 Recall: 0.99700 F1: 0.32494 F2: 0.54561 Total predictions: 12000 True positives: 1994 False positives: 8279 False negatives: 6 True negatives: 1721 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.79100 Precision: 0.36221 Recall: 0.19650 F1: 0.25478 F2: 0.21629 Total predictions: 11000 True positives: 393 False positives: 692 False negatives: 1607 True negatives: 8308 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_messages'] Accuracy: 0.78427 Precision: 0.32906 Recall: 0.17950 F1: 0.23229 F2: 0.19745 Total predictions: 11000 True positives: 359 False positives: 732 False negatives: 1641 True negatives: 8268 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'other'] Accuracy: 0.79600 Precision: 0.22139 Recall: 0.08900 F1: 0.12696 F2: 0.10109 Total predictions: 12000 True positives: 178 False positives: 626 False negatives: 1822 True negatives: 9374 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'director_fees'] Accuracy: 0.28354 Precision: 0.17614 Recall: 0.99450 F1: 0.29928 F2: 0.51550 Total predictions: 13000 True positives: 1989 False positives: 9303 False negatives: 11 True negatives: 1697 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20092 Precision: 0.17224 Recall: 0.99700 F1: 0.29373 F2: 0.50927 Total predictions: 12000 True positives: 1994 False positives: 9583 False negatives: 6 True negatives: 417 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'bonus'] Accuracy: 0.80218 Precision: 0.42348 Recall: 0.24350 F1: 0.30921 F2: 0.26612 Total predictions: 11000 True positives: 487 False positives: 663 False negatives: 1513 True negatives: 8337 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.83021 Precision: 0.36271 Recall: 0.24900 F1: 0.29529 F2: 0.26566 Total predictions: 14000 True positives: 498 False positives: 875 False negatives: 1502 True negatives: 11125 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.80473 Precision: 0.42276 Recall: 0.20250 F1: 0.27383 F2: 0.22605 Total predictions: 11000 True positives: 405 False positives: 553 False negatives: 1595 True negatives: 8447 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.78964 Precision: 0.32078 Recall: 0.14050 F1: 0.19541 F2: 0.15829 Total predictions: 11000 True positives: 281 False positives: 595 False negatives: 1719 True negatives: 8405 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.80938 Precision: 0.29573 Recall: 0.17300 F1: 0.21830 F2: 0.18866 Total predictions: 13000 True positives: 346 False positives: 824 False negatives: 1654 True negatives: 10176 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'salary'] Accuracy: 0.81575 Precision: 0.39157 Recall: 0.19050 F1: 0.25631 F2: 0.21230 Total predictions: 12000 True positives: 381 False positives: 592 False negatives: 1619 True negatives: 9408 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'total_payments'] Accuracy: 0.82429 Precision: 0.21178 Recall: 0.08450 F1: 0.12080 F2: 0.09604 Total predictions: 14000 True positives: 169 False positives: 629 False negatives: 1831 True negatives: 11371 ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.82831 Precision: 0.40909 Recall: 0.26100 F1: 0.31868 F2: 0.28137 Total predictions: 13000 True positives: 522 False positives: 754 False negatives: 1478 True negatives: 10246 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.31300 Precision: 0.19374 Recall: 0.98750 F1: 0.32393 F2: 0.54276 Total predictions: 12000 True positives: 1975 False positives: 8219 False negatives: 25 True negatives: 1781 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33408 Precision: 0.19286 Recall: 0.94050 F1: 0.32009 F2: 0.52977 Total predictions: 12000 True positives: 1881 False positives: 7872 False negatives: 119 True negatives: 2128 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'other'] Accuracy: 0.27992 Precision: 0.16869 Recall: 0.93700 F1: 0.28591 F2: 0.49034 Total predictions: 13000 True positives: 1874 False positives: 9235 False negatives: 126 True negatives: 1765 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.38000 Precision: 0.19881 Recall: 1.00000 F1: 0.33167 F2: 0.55371 Total predictions: 13000 True positives: 2000 False positives: 8060 False negatives: 0 True negatives: 2940 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31483 Precision: 0.19566 Recall: 1.00000 F1: 0.32728 F2: 0.54879 Total predictions: 12000 True positives: 2000 False positives: 8222 False negatives: 0 True negatives: 1778 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31508 Precision: 0.19571 Recall: 1.00000 F1: 0.32736 F2: 0.54888 Total predictions: 12000 True positives: 2000 False positives: 8219 False negatives: 0 True negatives: 1781 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26964 Precision: 0.16354 Recall: 0.99950 F1: 0.28109 F2: 0.49424 Total predictions: 14000 True positives: 1999 False positives: 10224 False negatives: 1 True negatives: 1776 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.31475 Precision: 0.19546 Recall: 0.99850 F1: 0.32692 F2: 0.54811 Total predictions: 12000 True positives: 1997 False positives: 8220 False negatives: 3 True negatives: 1780 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30750 Precision: 0.18694 Recall: 0.94200 F1: 0.31197 F2: 0.52108 Total predictions: 12000 True positives: 1884 False positives: 8194 False negatives: 116 True negatives: 1806 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.29323 Precision: 0.17807 Recall: 0.99400 F1: 0.30204 F2: 0.51868 Total predictions: 13000 True positives: 1988 False positives: 9176 False negatives: 12 True negatives: 1824 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30333 Precision: 0.19174 Recall: 0.98900 F1: 0.32121 F2: 0.53997 Total predictions: 12000 True positives: 1978 False positives: 8338 False negatives: 22 True negatives: 1662 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.25414 Precision: 0.15441 Recall: 0.94300 F1: 0.26537 F2: 0.46651 Total predictions: 14000 True positives: 1886 False positives: 10328 False negatives: 114 True negatives: 1672 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28892 Precision: 0.17753 Recall: 0.99700 F1: 0.30139 F2: 0.51841 Total predictions: 13000 True positives: 1994 False positives: 9238 False negatives: 6 True negatives: 1762 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.77100 Precision: 0.27687 Recall: 0.16100 F1: 0.20360 F2: 0.17571 Total predictions: 11000 True positives: 322 False positives: 841 False negatives: 1678 True negatives: 8159 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78925 Precision: 0.17939 Recall: 0.07400 F1: 0.10478 F2: 0.08385 Total predictions: 12000 True positives: 148 False positives: 677 False negatives: 1852 True negatives: 9323 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29367 Precision: 0.18745 Recall: 0.97100 F1: 0.31424 F2: 0.52887 Total predictions: 12000 True positives: 1942 False positives: 8418 False negatives: 58 True negatives: 1582 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21827 Precision: 0.18687 Recall: 0.98450 F1: 0.31411 F2: 0.53110 Total predictions: 11000 True positives: 1969 False positives: 8568 False negatives: 31 True negatives: 432 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.79382 Precision: 0.37500 Recall: 0.20100 F1: 0.26172 F2: 0.22156 Total predictions: 11000 True positives: 402 False positives: 670 False negatives: 1598 True negatives: 8330 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.82914 Precision: 0.35438 Recall: 0.23850 F1: 0.28512 F2: 0.25519 Total predictions: 14000 True positives: 477 False positives: 869 False negatives: 1523 True negatives: 11131 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.79745 Precision: 0.38623 Recall: 0.19350 F1: 0.25783 F2: 0.21495 Total predictions: 11000 True positives: 387 False positives: 615 False negatives: 1613 True negatives: 8385 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78173 Precision: 0.28230 Recall: 0.13000 F1: 0.17802 F2: 0.14572 Total predictions: 11000 True positives: 260 False positives: 661 False negatives: 1740 True negatives: 8339 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.78692 Precision: 0.24473 Recall: 0.13350 F1: 0.17276 F2: 0.14685 Total predictions: 12000 True positives: 267 False positives: 824 False negatives: 1733 True negatives: 9176 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80217 Precision: 0.31845 Recall: 0.16400 F1: 0.21650 F2: 0.18162 Total predictions: 12000 True positives: 328 False positives: 702 False negatives: 1672 True negatives: 9298 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.81307 Precision: 0.16136 Recall: 0.07350 F1: 0.10100 F2: 0.08248 Total predictions: 14000 True positives: 147 False positives: 764 False negatives: 1853 True negatives: 11236 ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.81762 Precision: 0.35742 Recall: 0.23250 F1: 0.28173 F2: 0.24997 Total predictions: 13000 True positives: 465 False positives: 836 False negatives: 1535 True negatives: 10164 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'other'] Accuracy: 0.78592 Precision: 0.16803 Recall: 0.07200 F1: 0.10081 F2: 0.08129 Total predictions: 12000 True positives: 144 False positives: 713 False negatives: 1856 True negatives: 9287 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'director_fees'] Accuracy: 0.31808 Precision: 0.18770 Recall: 0.92900 F1: 0.31230 F2: 0.51902 Total predictions: 12000 True positives: 1858 False positives: 8041 False negatives: 142 True negatives: 1959 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'resto_dirfees'] Accuracy: 0.24664 Precision: 0.18631 Recall: 0.93350 F1: 0.31062 F2: 0.51801 Total predictions: 11000 True positives: 1867 False positives: 8154 False negatives: 133 True negatives: 846 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'bonus'] Accuracy: 0.78945 Precision: 0.35094 Recall: 0.18600 F1: 0.24314 F2: 0.20530 Total predictions: 11000 True positives: 372 False positives: 688 False negatives: 1628 True negatives: 8312 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'total_stock_value'] Accuracy: 0.84643 Precision: 0.43568 Recall: 0.25400 F1: 0.32091 F2: 0.27711 Total predictions: 14000 True positives: 508 False positives: 658 False negatives: 1492 True negatives: 11342 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.77218 Precision: 0.28413 Recall: 0.16650 F1: 0.20996 F2: 0.18153 Total predictions: 11000 True positives: 333 False positives: 839 False negatives: 1667 True negatives: 8161 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75136 Precision: 0.24708 Recall: 0.17950 F1: 0.20794 F2: 0.18989 Total predictions: 11000 True positives: 359 False positives: 1094 False negatives: 1641 True negatives: 7906 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'restricted_stock'] Accuracy: 0.79633 Precision: 0.26180 Recall: 0.12200 F1: 0.16644 F2: 0.13659 Total predictions: 12000 True positives: 244 False positives: 688 False negatives: 1756 True negatives: 9312 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'salary'] Accuracy: 0.79975 Precision: 0.28074 Recall: 0.12900 F1: 0.17677 F2: 0.14464 Total predictions: 12000 True positives: 258 False positives: 661 False negatives: 1742 True negatives: 9339 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'total_payments'] Accuracy: 0.82736 Precision: 0.18552 Recall: 0.06150 F1: 0.09238 F2: 0.07099 Total predictions: 14000 True positives: 123 False positives: 540 False negatives: 1877 True negatives: 11460 ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83369 Precision: 0.43182 Recall: 0.25650 F1: 0.32183 F2: 0.27917 Total predictions: 13000 True positives: 513 False positives: 675 False negatives: 1487 True negatives: 10325 ['poi', 'to_messages', 'salary_bonus', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'director_fees'] Accuracy: 0.27738 Precision: 0.16849 Recall: 0.93950 F1: 0.28574 F2: 0.49055 Total predictions: 13000 True positives: 1879 False positives: 9273 False negatives: 121 True negatives: 1727 ['poi', 'to_messages', 'salary_bonus', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'resto_dirfees'] Accuracy: 0.19350 Precision: 0.16372 Recall: 0.93450 F1: 0.27862 F2: 0.48130 Total predictions: 12000 True positives: 1869 False positives: 9547 False negatives: 131 True negatives: 453 ['poi', 'to_messages', 'salary_bonus', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'bonus'] Accuracy: 0.81225 Precision: 0.36053 Recall: 0.16350 F1: 0.22497 F2: 0.18356 Total predictions: 12000 True positives: 327 False positives: 580 False negatives: 1673 True negatives: 9420 ['poi', 'to_messages', 'salary_bonus', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'total_stock_value'] Accuracy: 0.83350 Precision: 0.34576 Recall: 0.18550 F1: 0.24146 F2: 0.20445 Total predictions: 14000 True positives: 371 False positives: 702 False negatives: 1629 True negatives: 11298 ['poi', 'to_messages', 'salary_bonus', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'from_poi_to_this_person'] Accuracy: 0.79950 Precision: 0.21328 Recall: 0.07550 F1: 0.11152 F2: 0.08670 Total predictions: 12000 True positives: 151 False positives: 557 False negatives: 1849 True negatives: 9443 ['poi', 'to_messages', 'salary_bonus', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'from_this_person_to_poi'] Accuracy: 0.79008 Precision: 0.16773 Recall: 0.06550 F1: 0.09421 F2: 0.07459 Total predictions: 12000 True positives: 131 False positives: 650 False negatives: 1869 True negatives: 9350 ['poi', 'to_messages', 'salary_bonus', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'restricted_stock'] Accuracy: 0.80131 Precision: 0.16144 Recall: 0.06950 F1: 0.09717 F2: 0.07843 Total predictions: 13000 True positives: 139 False positives: 722 False negatives: 1861 True negatives: 10278 ['poi', 'to_messages', 'salary_bonus', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'salary'] Accuracy: 0.79858 Precision: 0.17674 Recall: 0.05700 F1: 0.08620 F2: 0.06593 Total predictions: 12000 True positives: 114 False positives: 531 False negatives: 1886 True negatives: 9469 ['poi', 'to_messages', 'salary_bonus', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'total_payments'] Accuracy: 0.82221 Precision: 0.17181 Recall: 0.06400 F1: 0.09326 F2: 0.07318 Total predictions: 14000 True positives: 128 False positives: 617 False negatives: 1872 True negatives: 11383 ['poi', 'to_messages', 'salary_bonus', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'other', 'exercised_stock_options'] Accuracy: 0.83736 Precision: 0.36136 Recall: 0.18050 F1: 0.24075 F2: 0.20058 Total predictions: 14000 True positives: 361 False positives: 638 False negatives: 1639 True negatives: 11362 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'resto_dirfees'] Accuracy: 0.29667 Precision: 0.19157 Recall: 1.00000 F1: 0.32154 F2: 0.54230 Total predictions: 12000 True positives: 2000 False positives: 8440 False negatives: 0 True negatives: 1560 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'bonus'] Accuracy: 0.29800 Precision: 0.19186 Recall: 1.00000 F1: 0.32196 F2: 0.54277 Total predictions: 12000 True positives: 2000 False positives: 8424 False negatives: 0 True negatives: 1576 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'total_stock_value'] Accuracy: 0.25100 Precision: 0.15043 Recall: 0.99350 F1: 0.26129 F2: 0.46843 Total predictions: 15000 True positives: 1987 False positives: 11222 False negatives: 13 True negatives: 1778 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29800 Precision: 0.19151 Recall: 0.99700 F1: 0.32130 F2: 0.54149 Total predictions: 12000 True positives: 1994 False positives: 8418 False negatives: 6 True negatives: 1582 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28833 Precision: 0.18147 Recall: 0.93150 F1: 0.30377 F2: 0.50996 Total predictions: 12000 True positives: 1863 False positives: 8403 False negatives: 137 True negatives: 1597 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'restricted_stock'] Accuracy: 0.26393 Precision: 0.16177 Recall: 0.99300 F1: 0.27821 F2: 0.48972 Total predictions: 14000 True positives: 1986 False positives: 10291 False negatives: 14 True negatives: 1709 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'salary'] Accuracy: 0.27931 Precision: 0.17454 Recall: 0.98800 F1: 0.29667 F2: 0.51136 Total predictions: 13000 True positives: 1976 False positives: 9345 False negatives: 24 True negatives: 1655 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'total_payments'] Accuracy: 0.66114 Precision: 0.23045 Recall: 0.58650 F1: 0.33089 F2: 0.44805 Total predictions: 14000 True positives: 1173 False positives: 3917 False negatives: 827 True negatives: 8083 ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25950 Precision: 0.16123 Recall: 0.99550 F1: 0.27751 F2: 0.48921 Total predictions: 14000 True positives: 1991 False positives: 10358 False negatives: 9 True negatives: 1642 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'bonus'] Accuracy: 0.22100 Precision: 0.18923 Recall: 1.00000 F1: 0.31824 F2: 0.53853 Total predictions: 11000 True positives: 2000 False positives: 8569 False negatives: 0 True negatives: 431 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21236 Precision: 0.14965 Recall: 0.96400 F1: 0.25909 F2: 0.46162 Total predictions: 14000 True positives: 1928 False positives: 10955 False negatives: 72 True negatives: 1045 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.22055 Precision: 0.18885 Recall: 0.99750 F1: 0.31757 F2: 0.53733 Total predictions: 11000 True positives: 1995 False positives: 8569 False negatives: 5 True negatives: 431 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.21055 Precision: 0.17921 Recall: 0.93350 F1: 0.30069 F2: 0.50684 Total predictions: 11000 True positives: 1867 False positives: 8551 False negatives: 133 True negatives: 449 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18638 Precision: 0.15804 Recall: 0.99100 F1: 0.27261 F2: 0.48245 Total predictions: 13000 True positives: 1982 False positives: 10559 False negatives: 18 True negatives: 441 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'salary'] Accuracy: 0.20275 Precision: 0.17228 Recall: 0.99450 F1: 0.29369 F2: 0.50883 Total predictions: 12000 True positives: 1989 False positives: 9556 False negatives: 11 True negatives: 444 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'total_payments'] Accuracy: 0.22664 Precision: 0.14097 Recall: 0.86650 F1: 0.24250 F2: 0.42699 Total predictions: 14000 True positives: 1733 False positives: 10560 False negatives: 267 True negatives: 1440 ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22346 Precision: 0.16279 Recall: 0.97700 F1: 0.27908 F2: 0.48843 Total predictions: 13000 True positives: 1954 False positives: 10049 False negatives: 46 True negatives: 951 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'total_stock_value'] Accuracy: 0.84657 Precision: 0.44825 Recall: 0.32050 F1: 0.37376 F2: 0.33987 Total predictions: 14000 True positives: 641 False positives: 789 False negatives: 1359 True negatives: 11211 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80609 Precision: 0.43938 Recall: 0.24100 F1: 0.31127 F2: 0.26492 Total predictions: 11000 True positives: 482 False positives: 615 False negatives: 1518 True negatives: 8385 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79636 Precision: 0.37179 Recall: 0.17400 F1: 0.23706 F2: 0.19472 Total predictions: 11000 True positives: 348 False positives: 588 False negatives: 1652 True negatives: 8412 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'restricted_stock'] Accuracy: 0.80933 Precision: 0.37899 Recall: 0.22550 F1: 0.28276 F2: 0.24538 Total predictions: 12000 True positives: 451 False positives: 739 False negatives: 1549 True negatives: 9261 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'salary'] Accuracy: 0.81717 Precision: 0.40866 Recall: 0.21700 F1: 0.28347 F2: 0.23946 Total predictions: 12000 True positives: 434 False positives: 628 False negatives: 1566 True negatives: 9372 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'total_payments'] Accuracy: 0.83136 Precision: 0.32793 Recall: 0.17200 F1: 0.22565 F2: 0.19008 Total predictions: 14000 True positives: 344 False positives: 705 False negatives: 1656 True negatives: 11295 ['poi', 'to_messages', 'salary_bonus', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'bonus', 'exercised_stock_options'] Accuracy: 0.84054 Precision: 0.47365 Recall: 0.32800 F1: 0.38759 F2: 0.34949 Total predictions: 13000 True positives: 656 False positives: 729 False negatives: 1344 True negatives: 10271 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84271 Precision: 0.41233 Recall: 0.23750 F1: 0.30140 F2: 0.25951 Total predictions: 14000 True positives: 475 False positives: 677 False negatives: 1525 True negatives: 11323 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84429 Precision: 0.42007 Recall: 0.23650 F1: 0.30262 F2: 0.25915 Total predictions: 14000 True positives: 473 False positives: 653 False negatives: 1527 True negatives: 11347 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84107 Precision: 0.40474 Recall: 0.23900 F1: 0.30053 F2: 0.26032 Total predictions: 14000 True positives: 478 False positives: 703 False negatives: 1522 True negatives: 11297 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'salary'] Accuracy: 0.83657 Precision: 0.38099 Recall: 0.23050 F1: 0.28723 F2: 0.25027 Total predictions: 14000 True positives: 461 False positives: 749 False negatives: 1539 True negatives: 11251 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84300 Precision: 0.33671 Recall: 0.18300 F1: 0.23712 F2: 0.20139 Total predictions: 15000 True positives: 366 False positives: 721 False negatives: 1634 True negatives: 12279 ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84486 Precision: 0.43313 Recall: 0.27850 F1: 0.33901 F2: 0.29991 Total predictions: 14000 True positives: 557 False positives: 729 False negatives: 1443 True negatives: 11271 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79527 Precision: 0.34010 Recall: 0.13400 F1: 0.19225 F2: 0.15248 Total predictions: 11000 True positives: 268 False positives: 520 False negatives: 1732 True negatives: 8480 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80042 Precision: 0.28080 Recall: 0.12650 F1: 0.17442 F2: 0.14212 Total predictions: 12000 True positives: 253 False positives: 648 False negatives: 1747 True negatives: 9352 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81275 Precision: 0.34146 Recall: 0.13300 F1: 0.19144 F2: 0.15150 Total predictions: 12000 True positives: 266 False positives: 513 False negatives: 1734 True negatives: 9487 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82836 Precision: 0.20755 Recall: 0.07150 F1: 0.10636 F2: 0.08229 Total predictions: 14000 True positives: 143 False positives: 546 False negatives: 1857 True negatives: 11454 ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83446 Precision: 0.43015 Recall: 0.23400 F1: 0.30311 F2: 0.25748 Total predictions: 13000 True positives: 468 False positives: 620 False negatives: 1532 True negatives: 10380 ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79250 Precision: 0.24211 Recall: 0.11500 F1: 0.15593 F2: 0.12849 Total predictions: 12000 True positives: 230 False positives: 720 False negatives: 1770 True negatives: 9280 ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80208 Precision: 0.27491 Recall: 0.11450 F1: 0.16167 F2: 0.12963 Total predictions: 12000 True positives: 229 False positives: 604 False negatives: 1771 True negatives: 9396 ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82721 Precision: 0.19416 Recall: 0.06650 F1: 0.09907 F2: 0.07657 Total predictions: 14000 True positives: 133 False positives: 552 False negatives: 1867 True negatives: 11448 ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83577 Precision: 0.43614 Recall: 0.23050 F1: 0.30160 F2: 0.25450 Total predictions: 13000 True positives: 461 False positives: 596 False negatives: 1539 True negatives: 10404 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'salary'] Accuracy: 0.81031 Precision: 0.26793 Recall: 0.13450 F1: 0.17909 F2: 0.14938 Total predictions: 13000 True positives: 269 False positives: 735 False negatives: 1731 True negatives: 10265 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82186 Precision: 0.19581 Recall: 0.07950 F1: 0.11309 F2: 0.09022 Total predictions: 14000 True positives: 159 False positives: 653 False negatives: 1841 True negatives: 11347 ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83814 Precision: 0.39222 Recall: 0.24200 F1: 0.29932 F2: 0.26207 Total predictions: 14000 True positives: 484 False positives: 750 False negatives: 1516 True negatives: 11250 ['poi', 'to_messages', 'salary_bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'salary', 'total_payments'] Accuracy: 0.82329 Precision: 0.18898 Recall: 0.07200 F1: 0.10427 F2: 0.08217 Total predictions: 14000 True positives: 144 False positives: 618 False negatives: 1856 True negatives: 11382 ['poi', 'to_messages', 'salary_bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.82962 Precision: 0.40393 Recall: 0.22600 F1: 0.28984 F2: 0.24783 Total predictions: 13000 True positives: 452 False positives: 667 False negatives: 1548 True negatives: 10333 ['poi', 'to_messages', 'salary_bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary_bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85120 Precision: 0.37917 Recall: 0.18200 F1: 0.24595 F2: 0.20312 Total predictions: 15000 True positives: 364 False positives: 596 False negatives: 1636 True negatives: 12404 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'deferred_income'] Accuracy: 0.83107 Precision: 0.33921 Recall: 0.19250 F1: 0.24561 F2: 0.21073 Total predictions: 14000 True positives: 385 False positives: 750 False negatives: 1615 True negatives: 11250 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'long_term_incentive'] Accuracy: 0.82515 Precision: 0.39985 Recall: 0.27250 F1: 0.32412 F2: 0.29104 Total predictions: 13000 True positives: 545 False positives: 818 False negatives: 1455 True negatives: 10182 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.28629 Precision: 0.16090 Recall: 0.94800 F1: 0.27510 F2: 0.47918 Total predictions: 14000 True positives: 1896 False positives: 9888 False negatives: 104 True negatives: 2112 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.74869 Precision: 0.11206 Recall: 0.09150 F1: 0.10074 F2: 0.09499 Total predictions: 13000 True positives: 183 False positives: 1450 False negatives: 1817 True negatives: 9550 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_messages'] Accuracy: 0.67238 Precision: 0.11621 Recall: 0.17100 F1: 0.13838 F2: 0.15626 Total predictions: 13000 True positives: 342 False positives: 2601 False negatives: 1658 True negatives: 8399 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'other'] Accuracy: 0.79885 Precision: 0.07703 Recall: 0.02800 F1: 0.04107 F2: 0.03208 Total predictions: 13000 True positives: 56 False positives: 671 False negatives: 1944 True negatives: 10329 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'director_fees'] Accuracy: 0.29764 Precision: 0.16286 Recall: 0.94600 F1: 0.27789 F2: 0.48223 Total predictions: 14000 True positives: 1892 False positives: 9725 False negatives: 108 True negatives: 2275 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'resto_dirfees'] Accuracy: 0.20954 Precision: 0.15597 Recall: 0.93800 F1: 0.26747 F2: 0.46834 Total predictions: 13000 True positives: 1876 False positives: 10152 False negatives: 124 True negatives: 848 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'bonus'] Accuracy: 0.80962 Precision: 0.31603 Recall: 0.20400 F1: 0.24795 F2: 0.21957 Total predictions: 13000 True positives: 408 False positives: 883 False negatives: 1592 True negatives: 10117 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'total_stock_value'] Accuracy: 0.86114 Precision: 0.52682 Recall: 0.27500 F1: 0.36137 F2: 0.30407 Total predictions: 14000 True positives: 550 False positives: 494 False negatives: 1450 True negatives: 11506 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.76162 Precision: 0.09625 Recall: 0.06550 F1: 0.07795 F2: 0.06997 Total predictions: 13000 True positives: 131 False positives: 1230 False negatives: 1869 True negatives: 9770 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] Accuracy: 0.76862 Precision: 0.06775 Recall: 0.03950 F1: 0.04991 F2: 0.04309 Total predictions: 13000 True positives: 79 False positives: 1087 False negatives: 1921 True negatives: 9913 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'restricted_stock'] Accuracy: 0.81729 Precision: 0.24774 Recall: 0.13700 F1: 0.17643 F2: 0.15045 Total predictions: 14000 True positives: 274 False positives: 832 False negatives: 1726 True negatives: 11168 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'salary'] Accuracy: 0.80262 Precision: 0.25434 Recall: 0.14650 F1: 0.18591 F2: 0.16007 Total predictions: 13000 True positives: 293 False positives: 859 False negatives: 1707 True negatives: 10141 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'total_payments'] Accuracy: 0.83079 Precision: 0.15514 Recall: 0.04150 F1: 0.06548 F2: 0.04862 Total predictions: 14000 True positives: 83 False positives: 452 False negatives: 1917 True negatives: 11548 ['poi', 'to_messages', 'deferral_payments', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'expenses', 'exercised_stock_options'] Accuracy: 0.85286 Precision: 0.47500 Recall: 0.28500 F1: 0.35625 F2: 0.30978 Total predictions: 14000 True positives: 570 False positives: 630 False negatives: 1430 True negatives: 11370 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'long_term_incentive'] Accuracy: 0.83285 Precision: 0.42857 Recall: 0.25950 F1: 0.32326 F2: 0.28173 Total predictions: 13000 True positives: 519 False positives: 692 False negatives: 1481 True negatives: 10308 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.29792 Precision: 0.17292 Recall: 0.94200 F1: 0.29221 F2: 0.49854 Total predictions: 13000 True positives: 1884 False positives: 9011 False negatives: 116 True negatives: 1989 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.78250 Precision: 0.26682 Recall: 0.17450 F1: 0.21100 F2: 0.18747 Total predictions: 12000 True positives: 349 False positives: 959 False negatives: 1651 True negatives: 9041 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_messages'] Accuracy: 0.73792 Precision: 0.23775 Recall: 0.25950 F1: 0.24815 F2: 0.25484 Total predictions: 12000 True positives: 519 False positives: 1664 False negatives: 1481 True negatives: 8336 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'other'] Accuracy: 0.83693 Precision: 0.32335 Recall: 0.12950 F1: 0.18493 F2: 0.14714 Total predictions: 14000 True positives: 259 False positives: 542 False negatives: 1741 True negatives: 11458 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'director_fees'] Accuracy: 0.29985 Precision: 0.17350 Recall: 0.94350 F1: 0.29310 F2: 0.49984 Total predictions: 13000 True positives: 1887 False positives: 8989 False negatives: 113 True negatives: 2011 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'resto_dirfees'] Accuracy: 0.21317 Precision: 0.16610 Recall: 0.92550 F1: 0.28165 F2: 0.48344 Total predictions: 12000 True positives: 1851 False positives: 9293 False negatives: 149 True negatives: 707 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'bonus'] Accuracy: 0.84400 Precision: 0.48713 Recall: 0.26500 F1: 0.34326 F2: 0.29159 Total predictions: 13000 True positives: 530 False positives: 558 False negatives: 1470 True negatives: 10442 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'total_stock_value'] Accuracy: 0.85607 Precision: 0.49400 Recall: 0.30850 F1: 0.37981 F2: 0.33355 Total predictions: 14000 True positives: 617 False positives: 632 False negatives: 1383 True negatives: 11368 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.78942 Precision: 0.28023 Recall: 0.16800 F1: 0.21007 F2: 0.18263 Total predictions: 12000 True positives: 336 False positives: 863 False negatives: 1664 True negatives: 9137 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.80650 Precision: 0.32385 Recall: 0.14800 F1: 0.20316 F2: 0.16603 Total predictions: 12000 True positives: 296 False positives: 618 False negatives: 1704 True negatives: 9382 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'restricted_stock'] Accuracy: 0.83879 Precision: 0.38758 Recall: 0.22150 F1: 0.28190 F2: 0.24226 Total predictions: 14000 True positives: 443 False positives: 700 False negatives: 1557 True negatives: 11300 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'salary'] Accuracy: 0.85264 Precision: 0.47333 Recall: 0.27950 F1: 0.35146 F2: 0.30443 Total predictions: 14000 True positives: 559 False positives: 622 False negatives: 1441 True negatives: 11378 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'total_payments'] Accuracy: 0.83950 Precision: 0.34347 Recall: 0.13550 F1: 0.19433 F2: 0.15417 Total predictions: 14000 True positives: 271 False positives: 518 False negatives: 1729 True negatives: 11482 ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86593 Precision: 0.55012 Recall: 0.33750 F1: 0.41835 F2: 0.36577 Total predictions: 14000 True positives: 675 False positives: 552 False negatives: 1325 True negatives: 11448 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.32892 Precision: 0.19102 Recall: 0.93550 F1: 0.31725 F2: 0.52571 Total predictions: 12000 True positives: 1871 False positives: 7924 False negatives: 129 True negatives: 2076 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.76767 Precision: 0.22828 Recall: 0.16550 F1: 0.19188 F2: 0.17513 Total predictions: 12000 True positives: 331 False positives: 1119 False negatives: 1669 True negatives: 8881 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_messages'] Accuracy: 0.72425 Precision: 0.26034 Recall: 0.35550 F1: 0.30057 F2: 0.33128 Total predictions: 12000 True positives: 711 False positives: 2020 False negatives: 1289 True negatives: 7980 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'other'] Accuracy: 0.79542 Precision: 0.17266 Recall: 0.06000 F1: 0.08905 F2: 0.06901 Total predictions: 12000 True positives: 120 False positives: 575 False negatives: 1880 True negatives: 9425 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'director_fees'] Accuracy: 0.31231 Precision: 0.17625 Recall: 0.94450 F1: 0.29706 F2: 0.50459 Total predictions: 13000 True positives: 1889 False positives: 8829 False negatives: 111 True negatives: 2171 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.23200 Precision: 0.17218 Recall: 0.94750 F1: 0.29140 F2: 0.49853 Total predictions: 12000 True positives: 1895 False positives: 9111 False negatives: 105 True negatives: 889 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'bonus'] Accuracy: 0.81508 Precision: 0.40681 Recall: 0.23900 F1: 0.30110 F2: 0.26049 Total predictions: 12000 True positives: 478 False positives: 697 False negatives: 1522 True negatives: 9303 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84750 Precision: 0.44236 Recall: 0.25900 F1: 0.32671 F2: 0.28241 Total predictions: 14000 True positives: 518 False positives: 653 False negatives: 1482 True negatives: 11347 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.77267 Precision: 0.23275 Recall: 0.15850 F1: 0.18858 F2: 0.16930 Total predictions: 12000 True positives: 317 False positives: 1045 False negatives: 1683 True negatives: 8955 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.77817 Precision: 0.19909 Recall: 0.10950 F1: 0.14129 F2: 0.12033 Total predictions: 12000 True positives: 219 False positives: 881 False negatives: 1781 True negatives: 9119 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.81062 Precision: 0.27529 Recall: 0.14150 F1: 0.18692 F2: 0.15673 Total predictions: 13000 True positives: 283 False positives: 745 False negatives: 1717 True negatives: 10255 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'salary'] Accuracy: 0.80550 Precision: 0.37054 Recall: 0.23900 F1: 0.29058 F2: 0.25727 Total predictions: 12000 True positives: 478 False positives: 812 False negatives: 1522 True negatives: 9188 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'total_payments'] Accuracy: 0.82900 Precision: 0.21199 Recall: 0.07250 F1: 0.10805 F2: 0.08349 Total predictions: 14000 True positives: 145 False positives: 539 False negatives: 1855 True negatives: 11461 ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83985 Precision: 0.46612 Recall: 0.28200 F1: 0.35140 F2: 0.30619 Total predictions: 13000 True positives: 564 False positives: 646 False negatives: 1436 True negatives: 10354 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.34100 Precision: 0.20868 Recall: 0.94000 F1: 0.34154 F2: 0.55265 Total predictions: 11000 True positives: 1880 False positives: 7129 False negatives: 120 True negatives: 1871 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.36182 Precision: 0.20443 Recall: 0.86800 F1: 0.33092 F2: 0.52632 Total predictions: 11000 True positives: 1736 False positives: 6756 False negatives: 264 True negatives: 2244 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'other'] Accuracy: 0.29669 Precision: 0.16606 Recall: 0.88800 F1: 0.27980 F2: 0.47499 Total predictions: 13000 True positives: 1776 False positives: 8919 False negatives: 224 True negatives: 2081 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.41125 Precision: 0.21303 Recall: 0.94000 F1: 0.34734 F2: 0.55869 Total predictions: 12000 True positives: 1880 False positives: 6945 False negatives: 120 True negatives: 3055 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.33400 Precision: 0.20691 Recall: 0.94000 F1: 0.33917 F2: 0.55016 Total predictions: 11000 True positives: 1880 False positives: 7206 False negatives: 120 True negatives: 1794 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.32617 Precision: 0.19012 Recall: 0.93350 F1: 0.31591 F2: 0.52385 Total predictions: 12000 True positives: 1867 False positives: 7953 False negatives: 133 True negatives: 2047 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.28929 Precision: 0.16113 Recall: 0.94500 F1: 0.27531 F2: 0.47897 Total predictions: 14000 True positives: 1890 False positives: 9840 False negatives: 110 True negatives: 2160 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.34064 Precision: 0.20859 Recall: 0.94000 F1: 0.34141 F2: 0.55252 Total predictions: 11000 True positives: 1880 False positives: 7133 False negatives: 120 True negatives: 1867 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.33127 Precision: 0.19665 Recall: 0.86800 F1: 0.32065 F2: 0.51581 Total predictions: 11000 True positives: 1736 False positives: 7092 False negatives: 264 True negatives: 1908 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.30708 Precision: 0.17417 Recall: 0.93650 F1: 0.29371 F2: 0.49936 Total predictions: 13000 True positives: 1873 False positives: 8881 False negatives: 127 True negatives: 2119 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30508 Precision: 0.17417 Recall: 0.94000 F1: 0.29389 F2: 0.50016 Total predictions: 13000 True positives: 1880 False positives: 8914 False negatives: 120 True negatives: 2086 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.26357 Precision: 0.14877 Recall: 0.88000 F1: 0.25452 F2: 0.44377 Total predictions: 14000 True positives: 1760 False positives: 10070 False negatives: 240 True negatives: 1930 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.29923 Precision: 0.17181 Recall: 0.93050 F1: 0.29006 F2: 0.49411 Total predictions: 13000 True positives: 1861 False positives: 8971 False negatives: 139 True negatives: 2029 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.67291 Precision: 0.21423 Recall: 0.29950 F1: 0.24979 F2: 0.27742 Total predictions: 11000 True positives: 599 False positives: 2197 False negatives: 1401 True negatives: 6803 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'other'] Accuracy: 0.75883 Precision: 0.07429 Recall: 0.03900 F1: 0.05115 F2: 0.04309 Total predictions: 12000 True positives: 78 False positives: 972 False negatives: 1922 True negatives: 9028 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.33517 Precision: 0.19154 Recall: 0.92800 F1: 0.31754 F2: 0.52459 Total predictions: 12000 True positives: 1856 False positives: 7834 False negatives: 144 True negatives: 2166 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.23609 Precision: 0.18418 Recall: 0.93350 F1: 0.30765 F2: 0.51469 Total predictions: 11000 True positives: 1867 False positives: 8270 False negatives: 133 True negatives: 730 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.78150 Precision: 0.28403 Recall: 0.20450 F1: 0.23779 F2: 0.21663 Total predictions: 12000 True positives: 409 False positives: 1031 False negatives: 1591 True negatives: 8969 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83843 Precision: 0.39766 Recall: 0.25450 F1: 0.31037 F2: 0.27425 Total predictions: 14000 True positives: 509 False positives: 771 False negatives: 1491 True negatives: 11229 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.73927 Precision: 0.14013 Recall: 0.08450 F1: 0.10543 F2: 0.09179 Total predictions: 11000 True positives: 169 False positives: 1037 False negatives: 1831 True negatives: 7963 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.73036 Precision: 0.09206 Recall: 0.05450 F1: 0.06847 F2: 0.05934 Total predictions: 11000 True positives: 109 False positives: 1075 False negatives: 1891 True negatives: 7925 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.77762 Precision: 0.15862 Recall: 0.10350 F1: 0.12526 F2: 0.11123 Total predictions: 13000 True positives: 207 False positives: 1098 False negatives: 1793 True negatives: 9902 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.75633 Precision: 0.18356 Recall: 0.13400 F1: 0.15491 F2: 0.14165 Total predictions: 12000 True positives: 268 False positives: 1192 False negatives: 1732 True negatives: 8808 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.81879 Precision: 0.14531 Recall: 0.05500 F1: 0.07980 F2: 0.06281 Total predictions: 14000 True positives: 110 False positives: 647 False negatives: 1890 True negatives: 11353 ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.83262 Precision: 0.43241 Recall: 0.28150 F1: 0.34101 F2: 0.30262 Total predictions: 13000 True positives: 563 False positives: 739 False negatives: 1437 True negatives: 10261 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'other'] Accuracy: 0.66267 Precision: 0.09685 Recall: 0.12300 F1: 0.10837 F2: 0.11670 Total predictions: 12000 True positives: 246 False positives: 2294 False negatives: 1754 True negatives: 7706 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'director_fees'] Accuracy: 0.35658 Precision: 0.18666 Recall: 0.85200 F1: 0.30623 F2: 0.49740 Total predictions: 12000 True positives: 1704 False positives: 7425 False negatives: 296 True negatives: 2575 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'resto_dirfees'] Accuracy: 0.25973 Precision: 0.18135 Recall: 0.87400 F1: 0.30037 F2: 0.49549 Total predictions: 11000 True positives: 1748 False positives: 7891 False negatives: 252 True negatives: 1109 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'bonus'] Accuracy: 0.71525 Precision: 0.18469 Recall: 0.20750 F1: 0.19543 F2: 0.20250 Total predictions: 12000 True positives: 415 False positives: 1832 False negatives: 1585 True negatives: 8168 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'total_stock_value'] Accuracy: 0.82621 Precision: 0.36341 Recall: 0.28800 F1: 0.32134 F2: 0.30047 Total predictions: 14000 True positives: 576 False positives: 1009 False negatives: 1424 True negatives: 10991 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.69255 Precision: 0.22227 Recall: 0.27650 F1: 0.24643 F2: 0.26363 Total predictions: 11000 True positives: 553 False positives: 1935 False negatives: 1447 True negatives: 7065 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.68136 Precision: 0.11430 Recall: 0.11150 F1: 0.11288 F2: 0.11205 Total predictions: 11000 True positives: 223 False positives: 1728 False negatives: 1777 True negatives: 7272 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'restricted_stock'] Accuracy: 0.72200 Precision: 0.14574 Recall: 0.16600 F1: 0.15521 F2: 0.16151 Total predictions: 13000 True positives: 332 False positives: 1946 False negatives: 1668 True negatives: 9054 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'salary'] Accuracy: 0.70983 Precision: 0.21234 Recall: 0.27350 F1: 0.23907 F2: 0.25860 Total predictions: 12000 True positives: 547 False positives: 2029 False negatives: 1453 True negatives: 7971 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'total_payments'] Accuracy: 0.81886 Precision: 0.14550 Recall: 0.05500 F1: 0.07983 F2: 0.06281 Total predictions: 14000 True positives: 110 False positives: 646 False negatives: 1890 True negatives: 11354 ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83438 Precision: 0.45099 Recall: 0.35200 F1: 0.39539 F2: 0.36816 Total predictions: 13000 True positives: 704 False positives: 857 False negatives: 1296 True negatives: 10143 ['poi', 'to_messages', 'deferral_payments', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'director_fees'] Accuracy: 0.28771 Precision: 0.15309 Recall: 0.87950 F1: 0.26079 F2: 0.45126 Total predictions: 14000 True positives: 1759 False positives: 9731 False negatives: 241 True negatives: 2269 ['poi', 'to_messages', 'deferral_payments', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'resto_dirfees'] Accuracy: 0.20523 Precision: 0.14838 Recall: 0.87900 F1: 0.25390 F2: 0.44287 Total predictions: 13000 True positives: 1758 False positives: 10090 False negatives: 242 True negatives: 910 ['poi', 'to_messages', 'deferral_payments', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'bonus'] Accuracy: 0.80350 Precision: 0.23676 Recall: 0.08050 F1: 0.12015 F2: 0.09274 Total predictions: 12000 True positives: 161 False positives: 519 False negatives: 1839 True negatives: 9481 ['poi', 'to_messages', 'deferral_payments', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'total_stock_value'] Accuracy: 0.84071 Precision: 0.38046 Recall: 0.18300 F1: 0.24713 F2: 0.20420 Total predictions: 14000 True positives: 366 False positives: 596 False negatives: 1634 True negatives: 11404 ['poi', 'to_messages', 'deferral_payments', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'from_poi_to_this_person'] Accuracy: 0.76983 Precision: 0.07095 Recall: 0.03150 F1: 0.04363 F2: 0.03544 Total predictions: 12000 True positives: 63 False positives: 825 False negatives: 1937 True negatives: 9175 ['poi', 'to_messages', 'deferral_payments', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'from_this_person_to_poi'] Accuracy: 0.77875 Precision: 0.01046 Recall: 0.00350 F1: 0.00525 F2: 0.00404 Total predictions: 12000 True positives: 7 False positives: 662 False negatives: 1993 True negatives: 9338 ['poi', 'to_messages', 'deferral_payments', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'restricted_stock'] Accuracy: 0.81008 Precision: 0.17476 Recall: 0.06300 F1: 0.09261 F2: 0.07224 Total predictions: 13000 True positives: 126 False positives: 595 False negatives: 1874 True negatives: 10405 ['poi', 'to_messages', 'deferral_payments', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'salary'] Accuracy: 0.80808 Precision: 0.18228 Recall: 0.07100 F1: 0.10220 F2: 0.08087 Total predictions: 13000 True positives: 142 False positives: 637 False negatives: 1858 True negatives: 10363 ['poi', 'to_messages', 'deferral_payments', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'total_payments'] Accuracy: 0.82307 Precision: 0.05915 Recall: 0.01600 F1: 0.02519 F2: 0.01873 Total predictions: 14000 True positives: 32 False positives: 509 False negatives: 1968 True negatives: 11491 ['poi', 'to_messages', 'deferral_payments', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'other', 'exercised_stock_options'] Accuracy: 0.84207 Precision: 0.38930 Recall: 0.18550 F1: 0.25127 F2: 0.20719 Total predictions: 14000 True positives: 371 False positives: 582 False negatives: 1629 True negatives: 11418 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'resto_dirfees'] Accuracy: 0.30758 Precision: 0.18521 Recall: 0.92800 F1: 0.30879 F2: 0.51495 Total predictions: 12000 True positives: 1856 False positives: 8165 False negatives: 144 True negatives: 1835 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'bonus'] Accuracy: 0.29615 Precision: 0.17154 Recall: 0.93350 F1: 0.28982 F2: 0.49433 Total predictions: 13000 True positives: 1867 False positives: 9017 False negatives: 133 True negatives: 1983 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'total_stock_value'] Accuracy: 0.28293 Precision: 0.15132 Recall: 0.95000 F1: 0.26106 F2: 0.46215 Total predictions: 15000 True positives: 1900 False positives: 10656 False negatives: 100 True negatives: 2344 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.33450 Precision: 0.19138 Recall: 0.92800 F1: 0.31732 F2: 0.52435 Total predictions: 12000 True positives: 1856 False positives: 7842 False negatives: 144 True negatives: 2158 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.32792 Precision: 0.17988 Recall: 0.85200 F1: 0.29705 F2: 0.48761 Total predictions: 12000 True positives: 1704 False positives: 7769 False negatives: 296 True negatives: 2231 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'restricted_stock'] Accuracy: 0.29107 Precision: 0.15967 Recall: 0.92950 F1: 0.27252 F2: 0.47320 Total predictions: 14000 True positives: 1859 False positives: 9784 False negatives: 141 True negatives: 2216 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'salary'] Accuracy: 0.28714 Precision: 0.15938 Recall: 0.93350 F1: 0.27228 F2: 0.47352 Total predictions: 14000 True positives: 1867 False positives: 9847 False negatives: 133 True negatives: 2153 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'total_payments'] Accuracy: 0.29743 Precision: 0.15638 Recall: 0.89150 F1: 0.26608 F2: 0.45949 Total predictions: 14000 True positives: 1783 False positives: 9619 False negatives: 217 True negatives: 2381 ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30307 Precision: 0.16271 Recall: 0.93550 F1: 0.27721 F2: 0.47977 Total predictions: 14000 True positives: 1871 False positives: 9628 False negatives: 129 True negatives: 2372 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'bonus'] Accuracy: 0.23233 Precision: 0.17081 Recall: 0.93550 F1: 0.28887 F2: 0.49356 Total predictions: 12000 True positives: 1871 False positives: 9083 False negatives: 129 True negatives: 917 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20729 Precision: 0.14676 Recall: 0.94500 F1: 0.25407 F2: 0.45263 Total predictions: 14000 True positives: 1890 False positives: 10988 False negatives: 110 True negatives: 1012 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.23564 Precision: 0.18409 Recall: 0.93350 F1: 0.30753 F2: 0.51455 Total predictions: 11000 True positives: 1867 False positives: 8275 False negatives: 133 True negatives: 725 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.22745 Precision: 0.17484 Recall: 0.87350 F1: 0.29136 F2: 0.48549 Total predictions: 11000 True positives: 1747 False positives: 8245 False negatives: 253 True negatives: 755 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21862 Precision: 0.15728 Recall: 0.93600 F1: 0.26931 F2: 0.47030 Total predictions: 13000 True positives: 1872 False positives: 10030 False negatives: 128 True negatives: 970 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'salary'] Accuracy: 0.21492 Precision: 0.15631 Recall: 0.93300 F1: 0.26776 F2: 0.46795 Total predictions: 13000 True positives: 1866 False positives: 10072 False negatives: 134 True negatives: 928 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'total_payments'] Accuracy: 0.23414 Precision: 0.13652 Recall: 0.81900 F1: 0.23403 F2: 0.40954 Total predictions: 14000 True positives: 1638 False positives: 10360 False negatives: 362 True negatives: 1640 ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21846 Precision: 0.15685 Recall: 0.93250 F1: 0.26854 F2: 0.46883 Total predictions: 13000 True positives: 1865 False positives: 10025 False negatives: 135 True negatives: 975 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'total_stock_value'] Accuracy: 0.84971 Precision: 0.45085 Recall: 0.23850 F1: 0.31197 F2: 0.26330 Total predictions: 14000 True positives: 477 False positives: 581 False negatives: 1523 True negatives: 11419 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.78033 Precision: 0.28189 Recall: 0.20550 F1: 0.23771 F2: 0.21728 Total predictions: 12000 True positives: 411 False positives: 1047 False negatives: 1589 True negatives: 8953 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79558 Precision: 0.27507 Recall: 0.13850 F1: 0.18424 F2: 0.15377 Total predictions: 12000 True positives: 277 False positives: 730 False negatives: 1723 True negatives: 9270 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'restricted_stock'] Accuracy: 0.81546 Precision: 0.28844 Recall: 0.13600 F1: 0.18485 F2: 0.15207 Total predictions: 13000 True positives: 272 False positives: 671 False negatives: 1728 True negatives: 10329 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'salary'] Accuracy: 0.80158 Precision: 0.33037 Recall: 0.18550 F1: 0.23759 F2: 0.20333 Total predictions: 12000 True positives: 371 False positives: 752 False negatives: 1629 True negatives: 9248 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'total_payments'] Accuracy: 0.82771 Precision: 0.20058 Recall: 0.06900 F1: 0.10268 F2: 0.07942 Total predictions: 14000 True positives: 138 False positives: 550 False negatives: 1862 True negatives: 11450 ['poi', 'to_messages', 'deferral_payments', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'bonus', 'exercised_stock_options'] Accuracy: 0.84223 Precision: 0.47645 Recall: 0.25800 F1: 0.33474 F2: 0.28405 Total predictions: 13000 True positives: 516 False positives: 567 False negatives: 1484 True negatives: 10433 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86507 Precision: 0.55861 Recall: 0.26450 F1: 0.35901 F2: 0.29563 Total predictions: 14000 True positives: 529 False positives: 418 False negatives: 1471 True negatives: 11582 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86714 Precision: 0.57625 Recall: 0.26450 F1: 0.36258 F2: 0.29659 Total predictions: 14000 True positives: 529 False positives: 389 False negatives: 1471 True negatives: 11611 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86864 Precision: 0.58394 Recall: 0.28000 F1: 0.37851 F2: 0.31253 Total predictions: 14000 True positives: 560 False positives: 399 False negatives: 1440 True negatives: 11601 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'salary'] Accuracy: 0.84886 Precision: 0.44569 Recall: 0.23800 F1: 0.31030 F2: 0.26246 Total predictions: 14000 True positives: 476 False positives: 592 False negatives: 1524 True negatives: 11408 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'total_payments'] Accuracy: 0.84880 Precision: 0.36492 Recall: 0.18100 F1: 0.24198 F2: 0.20129 Total predictions: 15000 True positives: 362 False positives: 630 False negatives: 1638 True negatives: 12370 ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84986 Precision: 0.45596 Recall: 0.26400 F1: 0.33439 F2: 0.28827 Total predictions: 14000 True positives: 528 False positives: 630 False negatives: 1472 True negatives: 11370 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.73745 Precision: 0.08192 Recall: 0.04350 F1: 0.05683 F2: 0.04800 Total predictions: 11000 True positives: 87 False positives: 975 False negatives: 1913 True negatives: 8025 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78600 Precision: 0.16638 Recall: 0.09750 F1: 0.12295 F2: 0.10630 Total predictions: 13000 True positives: 195 False positives: 977 False negatives: 1805 True negatives: 10023 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'salary'] Accuracy: 0.75567 Precision: 0.18975 Recall: 0.14250 F1: 0.16276 F2: 0.14997 Total predictions: 12000 True positives: 285 False positives: 1217 False negatives: 1715 True negatives: 8783 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83086 Precision: 0.18707 Recall: 0.05500 F1: 0.08501 F2: 0.06404 Total predictions: 14000 True positives: 110 False positives: 478 False negatives: 1890 True negatives: 11522 ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85338 Precision: 0.53950 Recall: 0.32100 F1: 0.40251 F2: 0.34929 Total predictions: 13000 True positives: 642 False positives: 548 False negatives: 1358 True negatives: 10452 ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80246 Precision: 0.16667 Recall: 0.07100 F1: 0.09958 F2: 0.08021 Total predictions: 13000 True positives: 142 False positives: 710 False negatives: 1858 True negatives: 10290 ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'salary'] Accuracy: 0.77950 Precision: 0.22155 Recall: 0.12850 F1: 0.16266 F2: 0.14028 Total predictions: 12000 True positives: 257 False positives: 903 False negatives: 1743 True negatives: 9097 ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83079 Precision: 0.18462 Recall: 0.05400 F1: 0.08356 F2: 0.06290 Total predictions: 14000 True positives: 108 False positives: 477 False negatives: 1892 True negatives: 11523 ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85700 Precision: 0.56462 Recall: 0.30800 F1: 0.39858 F2: 0.33880 Total predictions: 13000 True positives: 616 False positives: 475 False negatives: 1384 True negatives: 10525 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'salary'] Accuracy: 0.81154 Precision: 0.25000 Recall: 0.11250 F1: 0.15517 F2: 0.12640 Total predictions: 13000 True positives: 225 False positives: 675 False negatives: 1775 True negatives: 10325 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'total_payments'] Accuracy: 0.82586 Precision: 0.19499 Recall: 0.07000 F1: 0.10302 F2: 0.08029 Total predictions: 14000 True positives: 140 False positives: 578 False negatives: 1860 True negatives: 11422 ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85450 Precision: 0.48409 Recall: 0.28150 F1: 0.35599 F2: 0.30721 Total predictions: 14000 True positives: 563 False positives: 600 False negatives: 1437 True negatives: 11400 ['poi', 'to_messages', 'deferral_payments', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'salary', 'total_payments'] Accuracy: 0.82807 Precision: 0.17544 Recall: 0.05500 F1: 0.08375 F2: 0.06375 Total predictions: 14000 True positives: 110 False positives: 517 False negatives: 1890 True negatives: 11483 ['poi', 'to_messages', 'deferral_payments', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'salary', 'exercised_stock_options'] Accuracy: 0.85343 Precision: 0.47575 Recall: 0.25500 F1: 0.33203 F2: 0.28108 Total predictions: 14000 True positives: 510 False positives: 562 False negatives: 1490 True negatives: 11438 ['poi', 'to_messages', 'deferral_payments', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferral_payments', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84980 Precision: 0.37079 Recall: 0.18150 F1: 0.24371 F2: 0.20214 Total predictions: 15000 True positives: 363 False positives: 616 False negatives: 1637 True negatives: 12384 ['poi', 'to_messages', 'expenses', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'long_term_incentive'] Accuracy: 0.83485 Precision: 0.42967 Recall: 0.22450 F1: 0.29491 F2: 0.24820 Total predictions: 13000 True positives: 449 False positives: 596 False negatives: 1551 True negatives: 10404 ['poi', 'to_messages', 'expenses', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.28692 Precision: 0.17746 Recall: 1.00000 F1: 0.30143 F2: 0.51894 Total predictions: 13000 True positives: 2000 False positives: 9270 False negatives: 0 True negatives: 1730 ['poi', 'to_messages', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.81315 Precision: 0.24794 Recall: 0.10550 F1: 0.14802 F2: 0.11920 Total predictions: 13000 True positives: 211 False positives: 640 False negatives: 1789 True negatives: 10360 ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_messages'] Accuracy: 0.81269 Precision: 0.30598 Recall: 0.17150 F1: 0.21980 F2: 0.18803 Total predictions: 13000 True positives: 343 False positives: 778 False negatives: 1657 True negatives: 10222 ['poi', 'to_messages', 'expenses', 'deferred_income', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'other'] Accuracy: 0.83200 Precision: 0.37500 Recall: 0.13800 F1: 0.20175 F2: 0.15797 Total predictions: 13000 True positives: 276 False positives: 460 False negatives: 1724 True negatives: 10540 ['poi', 'to_messages', 'expenses', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'director_fees'] Accuracy: 0.28238 Precision: 0.17642 Recall: 0.99900 F1: 0.29989 F2: 0.51695 Total predictions: 13000 True positives: 1998 False positives: 9327 False negatives: 2 True negatives: 1673 ['poi', 'to_messages', 'expenses', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'resto_dirfees'] Accuracy: 0.19031 Precision: 0.15961 Recall: 0.99950 F1: 0.27527 F2: 0.48699 Total predictions: 13000 True positives: 1999 False positives: 10525 False negatives: 1 True negatives: 475 ['poi', 'to_messages', 'expenses', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'bonus'] Accuracy: 0.85623 Precision: 0.56353 Recall: 0.29050 F1: 0.38337 F2: 0.32167 Total predictions: 13000 True positives: 581 False positives: 450 False negatives: 1419 True negatives: 10550 ['poi', 'to_messages', 'expenses', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'total_stock_value'] Accuracy: 0.85543 Precision: 0.49055 Recall: 0.31150 F1: 0.38104 F2: 0.33603 Total predictions: 14000 True positives: 623 False positives: 647 False negatives: 1377 True negatives: 11353 ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.82092 Precision: 0.29082 Recall: 0.11400 F1: 0.16379 F2: 0.12978 Total predictions: 13000 True positives: 228 False positives: 556 False negatives: 1772 True negatives: 10444 ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.81862 Precision: 0.27342 Recall: 0.10800 F1: 0.15484 F2: 0.12287 Total predictions: 13000 True positives: 216 False positives: 574 False negatives: 1784 True negatives: 10426 ['poi', 'to_messages', 'expenses', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'restricted_stock'] Accuracy: 0.84050 Precision: 0.39438 Recall: 0.21750 F1: 0.28037 F2: 0.23893 Total predictions: 14000 True positives: 435 False positives: 668 False negatives: 1565 True negatives: 11332 ['poi', 'to_messages', 'expenses', 'deferred_income', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'salary'] Accuracy: 0.85200 Precision: 0.53718 Recall: 0.27450 F1: 0.36334 F2: 0.30426 Total predictions: 13000 True positives: 549 False positives: 473 False negatives: 1451 True negatives: 10527 ['poi', 'to_messages', 'expenses', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'total_payments'] Accuracy: 0.84079 Precision: 0.34754 Recall: 0.13050 F1: 0.18975 F2: 0.14913 Total predictions: 14000 True positives: 261 False positives: 490 False negatives: 1739 True negatives: 11510 ['poi', 'to_messages', 'expenses', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.85721 Precision: 0.50041 Recall: 0.30450 F1: 0.37861 F2: 0.33037 Total predictions: 14000 True positives: 609 False positives: 608 False negatives: 1391 True negatives: 11392 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.26921 Precision: 0.15957 Recall: 0.96450 F1: 0.27383 F2: 0.48011 Total predictions: 14000 True positives: 1929 False positives: 10160 False negatives: 71 True negatives: 1840 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.81485 Precision: 0.30338 Recall: 0.15700 F1: 0.20692 F2: 0.17377 Total predictions: 13000 True positives: 314 False positives: 721 False negatives: 1686 True negatives: 10279 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_messages'] Accuracy: 0.80838 Precision: 0.35567 Recall: 0.30250 F1: 0.32694 F2: 0.31182 Total predictions: 13000 True positives: 605 False positives: 1096 False negatives: 1395 True negatives: 9904 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'other'] Accuracy: 0.81638 Precision: 0.11683 Recall: 0.02950 F1: 0.04711 F2: 0.03469 Total predictions: 13000 True positives: 59 False positives: 446 False negatives: 1941 True negatives: 10554 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'director_fees'] Accuracy: 0.25650 Precision: 0.15579 Recall: 0.95150 F1: 0.26775 F2: 0.47069 Total predictions: 14000 True positives: 1903 False positives: 10312 False negatives: 97 True negatives: 1688 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.18015 Precision: 0.15379 Recall: 0.96150 F1: 0.26517 F2: 0.46893 Total predictions: 13000 True positives: 1923 False positives: 10581 False negatives: 77 True negatives: 419 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'bonus'] Accuracy: 0.82292 Precision: 0.37182 Recall: 0.21900 F1: 0.27565 F2: 0.23861 Total predictions: 13000 True positives: 438 False positives: 740 False negatives: 1562 True negatives: 10260 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84300 Precision: 0.42016 Recall: 0.26050 F1: 0.32160 F2: 0.28193 Total predictions: 14000 True positives: 521 False positives: 719 False negatives: 1479 True negatives: 11281 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.81954 Precision: 0.30296 Recall: 0.13300 F1: 0.18485 F2: 0.14981 Total predictions: 13000 True positives: 266 False positives: 612 False negatives: 1734 True negatives: 10388 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.81185 Precision: 0.22871 Recall: 0.09400 F1: 0.13324 F2: 0.10655 Total predictions: 13000 True positives: 188 False positives: 634 False negatives: 1812 True negatives: 10366 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.82543 Precision: 0.27347 Recall: 0.13400 F1: 0.17987 F2: 0.14922 Total predictions: 14000 True positives: 268 False positives: 712 False negatives: 1732 True negatives: 11288 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'salary'] Accuracy: 0.83215 Precision: 0.40789 Recall: 0.20150 F1: 0.26975 F2: 0.22419 Total predictions: 13000 True positives: 403 False positives: 585 False negatives: 1597 True negatives: 10415 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'total_payments'] Accuracy: 0.83100 Precision: 0.20579 Recall: 0.06400 F1: 0.09764 F2: 0.07423 Total predictions: 14000 True positives: 128 False positives: 494 False negatives: 1872 True negatives: 11506 ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.84164 Precision: 0.41423 Recall: 0.26200 F1: 0.32098 F2: 0.28278 Total predictions: 14000 True positives: 524 False positives: 741 False negatives: 1476 True negatives: 11259 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.27569 Precision: 0.16940 Recall: 0.95000 F1: 0.28753 F2: 0.49438 Total predictions: 13000 True positives: 1900 False positives: 9316 False negatives: 100 True negatives: 1684 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.30069 Precision: 0.17283 Recall: 0.93650 F1: 0.29181 F2: 0.49716 Total predictions: 13000 True positives: 1873 False positives: 8964 False negatives: 127 True negatives: 2036 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'other'] Accuracy: 0.25907 Precision: 0.15115 Recall: 0.90700 F1: 0.25912 F2: 0.45348 Total predictions: 14000 True positives: 1814 False positives: 10187 False negatives: 186 True negatives: 1813 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.36393 Precision: 0.18340 Recall: 1.00000 F1: 0.30996 F2: 0.52896 Total predictions: 14000 True positives: 2000 False positives: 8905 False negatives: 0 True negatives: 3095 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.28285 Precision: 0.17663 Recall: 1.00000 F1: 0.30023 F2: 0.51752 Total predictions: 13000 True positives: 2000 False positives: 9323 False negatives: 0 True negatives: 1677 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.28485 Precision: 0.17704 Recall: 1.00000 F1: 0.30082 F2: 0.51822 Total predictions: 13000 True positives: 2000 False positives: 9297 False negatives: 0 True negatives: 1703 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.25936 Precision: 0.15580 Recall: 0.94700 F1: 0.26757 F2: 0.46981 Total predictions: 14000 True positives: 1894 False positives: 10263 False negatives: 106 True negatives: 1737 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.28200 Precision: 0.17549 Recall: 0.99150 F1: 0.29820 F2: 0.51373 Total predictions: 13000 True positives: 1983 False positives: 9317 False negatives: 17 True negatives: 1683 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.27492 Precision: 0.16670 Recall: 0.92850 F1: 0.28265 F2: 0.48511 Total predictions: 13000 True positives: 1857 False positives: 9283 False negatives: 143 True negatives: 1717 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.27000 Precision: 0.15858 Recall: 0.95450 F1: 0.27198 F2: 0.47634 Total predictions: 14000 True positives: 1909 False positives: 10129 False negatives: 91 True negatives: 1871 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'salary'] Accuracy: 0.26907 Precision: 0.15937 Recall: 0.96300 F1: 0.27348 F2: 0.47946 Total predictions: 14000 True positives: 1926 False positives: 10159 False negatives: 74 True negatives: 1841 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.24643 Precision: 0.14675 Recall: 0.88800 F1: 0.25188 F2: 0.44175 Total predictions: 14000 True positives: 1776 False positives: 10326 False negatives: 224 True negatives: 1674 ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.25943 Precision: 0.15586 Recall: 0.94750 F1: 0.26769 F2: 0.47004 Total predictions: 14000 True positives: 1895 False positives: 10263 False negatives: 105 True negatives: 1737 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.75342 Precision: 0.15026 Recall: 0.10300 F1: 0.12222 F2: 0.10991 Total predictions: 12000 True positives: 206 False positives: 1165 False negatives: 1794 True negatives: 8835 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'other'] Accuracy: 0.80208 Precision: 0.01523 Recall: 0.00450 F1: 0.00695 F2: 0.00524 Total predictions: 13000 True positives: 9 False positives: 582 False negatives: 1991 True negatives: 10418 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.27346 Precision: 0.16891 Recall: 0.94950 F1: 0.28679 F2: 0.49343 Total predictions: 13000 True positives: 1899 False positives: 9344 False negatives: 101 True negatives: 1656 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.18138 Precision: 0.15265 Recall: 0.94950 F1: 0.26302 F2: 0.46453 Total predictions: 13000 True positives: 1899 False positives: 10541 False negatives: 101 True negatives: 459 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.81731 Precision: 0.33093 Recall: 0.18350 F1: 0.23609 F2: 0.20145 Total predictions: 13000 True positives: 367 False positives: 742 False negatives: 1633 True negatives: 10258 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84271 Precision: 0.41735 Recall: 0.25500 F1: 0.31657 F2: 0.27651 Total predictions: 14000 True positives: 510 False positives: 712 False negatives: 1490 True negatives: 11288 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78033 Precision: 0.04310 Recall: 0.01500 F1: 0.02226 F2: 0.01725 Total predictions: 12000 True positives: 30 False positives: 666 False negatives: 1970 True negatives: 9334 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.77775 Precision: 0.01456 Recall: 0.00500 F1: 0.00744 F2: 0.00576 Total predictions: 12000 True positives: 10 False positives: 677 False negatives: 1990 True negatives: 9323 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.80592 Precision: 0.19628 Recall: 0.08450 F1: 0.11814 F2: 0.09536 Total predictions: 13000 True positives: 169 False positives: 692 False negatives: 1831 True negatives: 10308 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.81362 Precision: 0.26474 Recall: 0.11900 F1: 0.16419 F2: 0.13372 Total predictions: 13000 True positives: 238 False positives: 661 False negatives: 1762 True negatives: 10339 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82264 Precision: 0.10732 Recall: 0.03300 F1: 0.05048 F2: 0.03831 Total predictions: 14000 True positives: 66 False positives: 549 False negatives: 1934 True negatives: 11451 ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84143 Precision: 0.41200 Recall: 0.25750 F1: 0.31692 F2: 0.27838 Total predictions: 14000 True positives: 515 False positives: 735 False negatives: 1485 True negatives: 11265 ['poi', 'to_messages', 'expenses', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'other'] Accuracy: 0.78223 Precision: 0.07645 Recall: 0.03750 F1: 0.05032 F2: 0.04175 Total predictions: 13000 True positives: 75 False positives: 906 False negatives: 1925 True negatives: 10094 ['poi', 'to_messages', 'expenses', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'director_fees'] Accuracy: 0.30077 Precision: 0.17279 Recall: 0.93600 F1: 0.29173 F2: 0.49697 Total predictions: 13000 True positives: 1872 False positives: 8962 False negatives: 128 True negatives: 2038 ['poi', 'to_messages', 'expenses', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'resto_dirfees'] Accuracy: 0.20715 Precision: 0.15379 Recall: 0.92250 F1: 0.26363 F2: 0.46132 Total predictions: 13000 True positives: 1845 False positives: 10152 False negatives: 155 True negatives: 848 ['poi', 'to_messages', 'expenses', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'bonus'] Accuracy: 0.79600 Precision: 0.24650 Recall: 0.15850 F1: 0.19294 F2: 0.17069 Total predictions: 13000 True positives: 317 False positives: 969 False negatives: 1683 True negatives: 10031 ['poi', 'to_messages', 'expenses', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'total_stock_value'] Accuracy: 0.86421 Precision: 0.54783 Recall: 0.28350 F1: 0.37364 F2: 0.31378 Total predictions: 14000 True positives: 567 False positives: 468 False negatives: 1433 True negatives: 11532 ['poi', 'to_messages', 'expenses', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.74192 Precision: 0.14544 Recall: 0.11250 F1: 0.12687 F2: 0.11784 Total predictions: 12000 True positives: 225 False positives: 1322 False negatives: 1775 True negatives: 8678 ['poi', 'to_messages', 'expenses', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75075 Precision: 0.08880 Recall: 0.05350 F1: 0.06677 F2: 0.05812 Total predictions: 12000 True positives: 107 False positives: 1098 False negatives: 1893 True negatives: 8902 ['poi', 'to_messages', 'expenses', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'restricted_stock'] Accuracy: 0.81031 Precision: 0.23879 Recall: 0.10650 F1: 0.14730 F2: 0.11977 Total predictions: 13000 True positives: 213 False positives: 679 False negatives: 1787 True negatives: 10321 ['poi', 'to_messages', 'expenses', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'salary'] Accuracy: 0.78785 Precision: 0.23570 Recall: 0.16900 F1: 0.19685 F2: 0.17914 Total predictions: 13000 True positives: 338 False positives: 1096 False negatives: 1662 True negatives: 9904 ['poi', 'to_messages', 'expenses', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'total_payments'] Accuracy: 0.83307 Precision: 0.18505 Recall: 0.04950 F1: 0.07811 F2: 0.05800 Total predictions: 14000 True positives: 99 False positives: 436 False negatives: 1901 True negatives: 11564 ['poi', 'to_messages', 'expenses', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_messages', 'exercised_stock_options'] Accuracy: 0.85421 Precision: 0.48243 Recall: 0.28150 F1: 0.35554 F2: 0.30708 Total predictions: 14000 True positives: 563 False positives: 604 False negatives: 1437 True negatives: 11396 ['poi', 'to_messages', 'expenses', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'director_fees'] Accuracy: 0.25479 Precision: 0.14936 Recall: 0.89800 F1: 0.25611 F2: 0.44844 Total predictions: 14000 True positives: 1796 False positives: 10229 False negatives: 204 True negatives: 1771 ['poi', 'to_messages', 'expenses', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'resto_dirfees'] Accuracy: 0.17231 Precision: 0.14483 Recall: 0.89300 F1: 0.24923 F2: 0.43921 Total predictions: 13000 True positives: 1786 False positives: 10546 False negatives: 214 True negatives: 454 ['poi', 'to_messages', 'expenses', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'bonus'] Accuracy: 0.81569 Precision: 0.21714 Recall: 0.07600 F1: 0.11259 F2: 0.08736 Total predictions: 13000 True positives: 152 False positives: 548 False negatives: 1848 True negatives: 10452 ['poi', 'to_messages', 'expenses', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'total_stock_value'] Accuracy: 0.84650 Precision: 0.41524 Recall: 0.18250 F1: 0.25356 F2: 0.20554 Total predictions: 14000 True positives: 365 False positives: 514 False negatives: 1635 True negatives: 11486 ['poi', 'to_messages', 'expenses', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'from_poi_to_this_person'] Accuracy: 0.81108 Precision: 0.01899 Recall: 0.00450 F1: 0.00728 F2: 0.00531 Total predictions: 13000 True positives: 9 False positives: 465 False negatives: 1991 True negatives: 10535 ['poi', 'to_messages', 'expenses', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'from_this_person_to_poi'] Accuracy: 0.80254 Precision: 0.01868 Recall: 0.00550 F1: 0.00850 F2: 0.00640 Total predictions: 13000 True positives: 11 False positives: 578 False negatives: 1989 True negatives: 10422 ['poi', 'to_messages', 'expenses', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'restricted_stock'] Accuracy: 0.81786 Precision: 0.13816 Recall: 0.05250 F1: 0.07609 F2: 0.05993 Total predictions: 14000 True positives: 105 False positives: 655 False negatives: 1895 True negatives: 11345 ['poi', 'to_messages', 'expenses', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'salary'] Accuracy: 0.82100 Precision: 0.19890 Recall: 0.05400 F1: 0.08494 F2: 0.06321 Total predictions: 13000 True positives: 108 False positives: 435 False negatives: 1892 True negatives: 10565 ['poi', 'to_messages', 'expenses', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'total_payments'] Accuracy: 0.82321 Precision: 0.02405 Recall: 0.00600 F1: 0.00960 F2: 0.00706 Total predictions: 14000 True positives: 12 False positives: 487 False negatives: 1988 True negatives: 11513 ['poi', 'to_messages', 'expenses', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'other', 'exercised_stock_options'] Accuracy: 0.84450 Precision: 0.40090 Recall: 0.17900 F1: 0.24749 F2: 0.20128 Total predictions: 14000 True positives: 358 False positives: 535 False negatives: 1642 True negatives: 11465 ['poi', 'to_messages', 'expenses', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'resto_dirfees'] Accuracy: 0.28069 Precision: 0.17620 Recall: 1.00000 F1: 0.29960 F2: 0.51677 Total predictions: 13000 True positives: 2000 False positives: 9351 False negatives: 0 True negatives: 1649 ['poi', 'to_messages', 'expenses', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'bonus'] Accuracy: 0.28162 Precision: 0.17610 Recall: 0.99750 F1: 0.29935 F2: 0.51606 Total predictions: 13000 True positives: 1995 False positives: 9334 False negatives: 5 True negatives: 1666 ['poi', 'to_messages', 'expenses', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'total_stock_value'] Accuracy: 0.24667 Precision: 0.14488 Recall: 0.94850 F1: 0.25136 F2: 0.44965 Total predictions: 15000 True positives: 1897 False positives: 11197 False negatives: 103 True negatives: 1803 ['poi', 'to_messages', 'expenses', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27954 Precision: 0.17470 Recall: 0.98900 F1: 0.29695 F2: 0.51185 Total predictions: 13000 True positives: 1978 False positives: 9344 False negatives: 22 True negatives: 1656 ['poi', 'to_messages', 'expenses', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.27369 Precision: 0.16562 Recall: 0.92150 F1: 0.28077 F2: 0.48175 Total predictions: 13000 True positives: 1843 False positives: 9285 False negatives: 157 True negatives: 1715 ['poi', 'to_messages', 'expenses', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'restricted_stock'] Accuracy: 0.25943 Precision: 0.15524 Recall: 0.94200 F1: 0.26655 F2: 0.46782 Total predictions: 14000 True positives: 1884 False positives: 10252 False negatives: 116 True negatives: 1748 ['poi', 'to_messages', 'expenses', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'salary'] Accuracy: 0.25557 Precision: 0.15534 Recall: 0.94900 F1: 0.26699 F2: 0.46938 Total predictions: 14000 True positives: 1898 False positives: 10320 False negatives: 102 True negatives: 1680 ['poi', 'to_messages', 'expenses', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'total_payments'] Accuracy: 0.43986 Precision: 0.18759 Recall: 0.87700 F1: 0.30907 F2: 0.50548 Total predictions: 14000 True positives: 1754 False positives: 7596 False negatives: 246 True negatives: 4404 ['poi', 'to_messages', 'expenses', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25586 Precision: 0.15506 Recall: 0.94600 F1: 0.26644 F2: 0.46827 Total predictions: 14000 True positives: 1892 False positives: 10310 False negatives: 108 True negatives: 1690 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'bonus'] Accuracy: 0.18800 Precision: 0.15923 Recall: 0.99950 F1: 0.27470 F2: 0.48628 Total predictions: 13000 True positives: 1999 False positives: 10555 False negatives: 1 True negatives: 445 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20150 Precision: 0.14513 Recall: 0.93850 F1: 0.25139 F2: 0.44834 Total predictions: 14000 True positives: 1877 False positives: 11056 False negatives: 123 True negatives: 944 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.18654 Precision: 0.15736 Recall: 0.98450 F1: 0.27134 F2: 0.47994 Total predictions: 13000 True positives: 1969 False positives: 10544 False negatives: 31 True negatives: 456 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.17823 Precision: 0.14849 Recall: 0.91700 F1: 0.25559 F2: 0.45059 Total predictions: 13000 True positives: 1834 False positives: 10517 False negatives: 166 True negatives: 483 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.16950 Precision: 0.14188 Recall: 0.95350 F1: 0.24700 F2: 0.44471 Total predictions: 14000 True positives: 1907 False positives: 11534 False negatives: 93 True negatives: 466 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'salary'] Accuracy: 0.17954 Precision: 0.15325 Recall: 0.95750 F1: 0.26421 F2: 0.46716 Total predictions: 13000 True positives: 1915 False positives: 10581 False negatives: 85 True negatives: 419 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'total_payments'] Accuracy: 0.21679 Precision: 0.13315 Recall: 0.81350 F1: 0.22885 F2: 0.40234 Total predictions: 14000 True positives: 1627 False positives: 10592 False negatives: 373 True negatives: 1408 ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.19336 Precision: 0.14436 Recall: 0.94300 F1: 0.25038 F2: 0.44766 Total predictions: 14000 True positives: 1886 False positives: 11179 False negatives: 114 True negatives: 821 ['poi', 'to_messages', 'expenses', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'total_stock_value'] Accuracy: 0.84179 Precision: 0.41434 Recall: 0.26000 F1: 0.31951 F2: 0.28093 Total predictions: 14000 True positives: 520 False positives: 735 False negatives: 1480 True negatives: 11265 ['poi', 'to_messages', 'expenses', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.83185 Precision: 0.39913 Recall: 0.18400 F1: 0.25188 F2: 0.20623 Total predictions: 13000 True positives: 368 False positives: 554 False negatives: 1632 True negatives: 10446 ['poi', 'to_messages', 'expenses', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.82200 Precision: 0.31130 Recall: 0.12950 F1: 0.18291 F2: 0.14663 Total predictions: 13000 True positives: 259 False positives: 573 False negatives: 1741 True negatives: 10427 ['poi', 'to_messages', 'expenses', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'restricted_stock'] Accuracy: 0.82229 Precision: 0.27154 Recall: 0.14500 F1: 0.18905 F2: 0.15990 Total predictions: 14000 True positives: 290 False positives: 778 False negatives: 1710 True negatives: 11222 ['poi', 'to_messages', 'expenses', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'salary'] Accuracy: 0.82162 Precision: 0.35354 Recall: 0.19250 F1: 0.24927 F2: 0.21179 Total predictions: 13000 True positives: 385 False positives: 704 False negatives: 1615 True negatives: 10296 ['poi', 'to_messages', 'expenses', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'total_payments'] Accuracy: 0.82793 Precision: 0.21075 Recall: 0.07450 F1: 0.11008 F2: 0.08556 Total predictions: 14000 True positives: 149 False positives: 558 False negatives: 1851 True negatives: 11442 ['poi', 'to_messages', 'expenses', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'bonus', 'exercised_stock_options'] Accuracy: 0.84471 Precision: 0.42701 Recall: 0.25450 F1: 0.31892 F2: 0.27687 Total predictions: 14000 True positives: 509 False positives: 683 False negatives: 1491 True negatives: 11317 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86693 Precision: 0.56871 Recall: 0.28350 F1: 0.37838 F2: 0.31511 Total predictions: 14000 True positives: 567 False positives: 430 False negatives: 1433 True negatives: 11570 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86721 Precision: 0.57100 Recall: 0.28350 F1: 0.37888 F2: 0.31525 Total predictions: 14000 True positives: 567 False positives: 426 False negatives: 1433 True negatives: 11574 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85957 Precision: 0.51628 Recall: 0.26950 F1: 0.35414 F2: 0.29799 Total predictions: 14000 True positives: 539 False positives: 505 False negatives: 1461 True negatives: 11495 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'salary'] Accuracy: 0.85236 Precision: 0.46825 Recall: 0.24700 F1: 0.32340 F2: 0.27278 Total predictions: 14000 True positives: 494 False positives: 561 False negatives: 1506 True negatives: 11439 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'total_payments'] Accuracy: 0.84947 Precision: 0.36756 Recall: 0.17900 F1: 0.24075 F2: 0.19947 Total predictions: 15000 True positives: 358 False positives: 616 False negatives: 1642 True negatives: 12384 ['poi', 'to_messages', 'expenses', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85143 Precision: 0.46705 Recall: 0.28350 F1: 0.35283 F2: 0.30768 Total predictions: 14000 True positives: 567 False positives: 647 False negatives: 1433 True negatives: 11353 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79167 Precision: 0.03532 Recall: 0.00950 F1: 0.01497 F2: 0.01113 Total predictions: 12000 True positives: 19 False positives: 519 False negatives: 1981 True negatives: 9481 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81762 Precision: 0.23309 Recall: 0.08100 F1: 0.12022 F2: 0.09316 Total predictions: 13000 True positives: 162 False positives: 533 False negatives: 1838 True negatives: 10467 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81592 Precision: 0.27440 Recall: 0.11950 F1: 0.16649 F2: 0.13471 Total predictions: 13000 True positives: 239 False positives: 632 False negatives: 1761 True negatives: 10368 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83229 Precision: 0.09535 Recall: 0.02050 F1: 0.03374 F2: 0.02432 Total predictions: 14000 True positives: 41 False positives: 389 False negatives: 1959 True negatives: 11611 ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85771 Precision: 0.50358 Recall: 0.28100 F1: 0.36072 F2: 0.30825 Total predictions: 14000 True positives: 562 False positives: 554 False negatives: 1438 True negatives: 11446 ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81700 Precision: 0.21674 Recall: 0.07250 F1: 0.10865 F2: 0.08363 Total predictions: 13000 True positives: 145 False positives: 524 False negatives: 1855 True negatives: 10476 ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80946 Precision: 0.24762 Recall: 0.11700 F1: 0.15891 F2: 0.13080 Total predictions: 13000 True positives: 234 False positives: 711 False negatives: 1766 True negatives: 10289 ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83079 Precision: 0.08725 Recall: 0.01950 F1: 0.03188 F2: 0.02309 Total predictions: 14000 True positives: 39 False positives: 408 False negatives: 1961 True negatives: 11592 ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85950 Precision: 0.51515 Recall: 0.28050 F1: 0.36322 F2: 0.30861 Total predictions: 14000 True positives: 561 False positives: 528 False negatives: 1439 True negatives: 11472 ['poi', 'to_messages', 'expenses', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock', 'salary'] Accuracy: 0.82564 Precision: 0.25473 Recall: 0.11450 F1: 0.15799 F2: 0.12867 Total predictions: 14000 True positives: 229 False positives: 670 False negatives: 1771 True negatives: 11330 ['poi', 'to_messages', 'expenses', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock', 'total_payments'] Accuracy: 0.83036 Precision: 0.21198 Recall: 0.06900 F1: 0.10411 F2: 0.07976 Total predictions: 14000 True positives: 138 False positives: 513 False negatives: 1862 True negatives: 11487 ['poi', 'to_messages', 'expenses', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85564 Precision: 0.49045 Recall: 0.26950 F1: 0.34785 F2: 0.29619 Total predictions: 14000 True positives: 539 False positives: 560 False negatives: 1461 True negatives: 11440 ['poi', 'to_messages', 'expenses', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'expenses', 'salary', 'total_payments'] Accuracy: 0.83586 Precision: 0.21236 Recall: 0.05500 F1: 0.08737 F2: 0.06457 Total predictions: 14000 True positives: 110 False positives: 408 False negatives: 1890 True negatives: 11592 ['poi', 'to_messages', 'expenses', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'salary', 'exercised_stock_options'] Accuracy: 0.85379 Precision: 0.47712 Recall: 0.24500 F1: 0.32375 F2: 0.27141 Total predictions: 14000 True positives: 490 False positives: 537 False negatives: 1510 True negatives: 11463 ['poi', 'to_messages', 'expenses', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'expenses', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85387 Precision: 0.39474 Recall: 0.18000 F1: 0.24725 F2: 0.20197 Total predictions: 15000 True positives: 360 False positives: 552 False negatives: 1640 True negatives: 12448 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.29485 Precision: 0.17910 Recall: 1.00000 F1: 0.30379 F2: 0.52173 Total predictions: 13000 True positives: 2000 False positives: 9167 False negatives: 0 True negatives: 1833 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.81233 Precision: 0.39100 Recall: 0.22600 F1: 0.28644 F2: 0.24683 Total predictions: 12000 True positives: 452 False positives: 704 False negatives: 1548 True negatives: 9296 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_messages'] Accuracy: 0.82567 Precision: 0.46154 Recall: 0.27600 F1: 0.34543 F2: 0.30013 Total predictions: 12000 True positives: 552 False positives: 644 False negatives: 1448 True negatives: 9356 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'other'] Accuracy: 0.82946 Precision: 0.36621 Recall: 0.14850 F1: 0.21131 F2: 0.16854 Total predictions: 13000 True positives: 297 False positives: 514 False negatives: 1703 True negatives: 10486 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'director_fees'] Accuracy: 0.28808 Precision: 0.17724 Recall: 0.99600 F1: 0.30093 F2: 0.51770 Total predictions: 13000 True positives: 1992 False positives: 9247 False negatives: 8 True negatives: 1753 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20492 Precision: 0.17324 Recall: 0.99950 F1: 0.29530 F2: 0.51154 Total predictions: 12000 True positives: 1999 False positives: 9540 False negatives: 1 True negatives: 460 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'bonus'] Accuracy: 0.85669 Precision: 0.54967 Recall: 0.37900 F1: 0.44865 F2: 0.40409 Total predictions: 13000 True positives: 758 False positives: 621 False negatives: 1242 True negatives: 10379 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.85236 Precision: 0.47685 Recall: 0.34500 F1: 0.40035 F2: 0.36520 Total predictions: 14000 True positives: 690 False positives: 757 False negatives: 1310 True negatives: 11243 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.82650 Precision: 0.46218 Recall: 0.25050 F1: 0.32490 F2: 0.27576 Total predictions: 12000 True positives: 501 False positives: 583 False negatives: 1499 True negatives: 9417 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.80917 Precision: 0.37325 Recall: 0.21350 F1: 0.27163 F2: 0.23349 Total predictions: 12000 True positives: 427 False positives: 717 False negatives: 1573 True negatives: 9283 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.84479 Precision: 0.43947 Recall: 0.31400 F1: 0.36629 F2: 0.33302 Total predictions: 14000 True positives: 628 False positives: 801 False negatives: 1372 True negatives: 11199 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'salary'] Accuracy: 0.84454 Precision: 0.49124 Recall: 0.29450 F1: 0.36824 F2: 0.32014 Total predictions: 13000 True positives: 589 False positives: 610 False negatives: 1411 True negatives: 10390 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'total_payments'] Accuracy: 0.83664 Precision: 0.35945 Recall: 0.18350 F1: 0.24297 F2: 0.20341 Total predictions: 14000 True positives: 367 False positives: 654 False negatives: 1633 True negatives: 11346 ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.85336 Precision: 0.48018 Recall: 0.32100 F1: 0.38478 F2: 0.34379 Total predictions: 14000 True positives: 642 False positives: 695 False negatives: 1358 True negatives: 11305 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.31400 Precision: 0.19325 Recall: 0.98150 F1: 0.32291 F2: 0.54053 Total predictions: 12000 True positives: 1963 False positives: 8195 False negatives: 37 True negatives: 1805 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33875 Precision: 0.19315 Recall: 0.93400 F1: 0.32011 F2: 0.52855 Total predictions: 12000 True positives: 1868 False positives: 7803 False negatives: 132 True negatives: 2197 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'other'] Accuracy: 0.28262 Precision: 0.17053 Recall: 0.94800 F1: 0.28907 F2: 0.49587 Total predictions: 13000 True positives: 1896 False positives: 9222 False negatives: 104 True negatives: 1778 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.40892 Precision: 0.21995 Recall: 1.00000 F1: 0.36059 F2: 0.58503 Total predictions: 12000 True positives: 2000 False positives: 7093 False negatives: 0 True negatives: 2907 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31567 Precision: 0.19585 Recall: 1.00000 F1: 0.32755 F2: 0.54909 Total predictions: 12000 True positives: 2000 False positives: 8212 False negatives: 0 True negatives: 1788 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.28438 Precision: 0.17694 Recall: 1.00000 F1: 0.30068 F2: 0.51805 Total predictions: 13000 True positives: 2000 False positives: 9303 False negatives: 0 True negatives: 1697 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26800 Precision: 0.16329 Recall: 1.00000 F1: 0.28074 F2: 0.49388 Total predictions: 14000 True positives: 2000 False positives: 10248 False negatives: 0 True negatives: 1752 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.31683 Precision: 0.19612 Recall: 1.00000 F1: 0.32792 F2: 0.54951 Total predictions: 12000 True positives: 2000 False positives: 8198 False negatives: 0 True negatives: 1802 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30958 Precision: 0.18685 Recall: 0.93750 F1: 0.31159 F2: 0.51982 Total predictions: 12000 True positives: 1875 False positives: 8160 False negatives: 125 True negatives: 1840 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28546 Precision: 0.17653 Recall: 0.99450 F1: 0.29984 F2: 0.51617 Total predictions: 13000 True positives: 1989 False positives: 9278 False negatives: 11 True negatives: 1722 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'salary'] Accuracy: 0.28362 Precision: 0.17610 Recall: 0.99400 F1: 0.29919 F2: 0.51532 Total predictions: 13000 True positives: 1988 False positives: 9301 False negatives: 12 True negatives: 1699 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.25421 Precision: 0.15431 Recall: 0.94200 F1: 0.26518 F2: 0.46613 Total predictions: 14000 True positives: 1884 False positives: 10325 False negatives: 116 True negatives: 1675 ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26814 Precision: 0.16326 Recall: 0.99950 F1: 0.28068 F2: 0.49373 Total predictions: 14000 True positives: 1999 False positives: 10245 False negatives: 1 True negatives: 1755 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.79927 Precision: 0.38393 Recall: 0.17200 F1: 0.23757 F2: 0.19335 Total predictions: 11000 True positives: 344 False positives: 552 False negatives: 1656 True negatives: 8448 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'other'] Accuracy: 0.81362 Precision: 0.24239 Recall: 0.09950 F1: 0.14108 F2: 0.11280 Total predictions: 13000 True positives: 199 False positives: 622 False negatives: 1801 True negatives: 10378 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.30317 Precision: 0.18685 Recall: 0.94900 F1: 0.31222 F2: 0.52263 Total predictions: 12000 True positives: 1898 False positives: 8260 False negatives: 102 True negatives: 1740 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21709 Precision: 0.18628 Recall: 0.98150 F1: 0.31313 F2: 0.52945 Total predictions: 11000 True positives: 1963 False positives: 8575 False negatives: 37 True negatives: 425 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.83483 Precision: 0.50732 Recall: 0.31200 F1: 0.38638 F2: 0.33803 Total predictions: 12000 True positives: 624 False positives: 606 False negatives: 1376 True negatives: 9394 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83529 Precision: 0.39908 Recall: 0.30250 F1: 0.34414 F2: 0.31789 Total predictions: 14000 True positives: 605 False positives: 911 False negatives: 1395 True negatives: 11089 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78891 Precision: 0.31103 Recall: 0.13250 F1: 0.18583 F2: 0.14968 Total predictions: 11000 True positives: 265 False positives: 587 False negatives: 1735 True negatives: 8413 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78845 Precision: 0.30922 Recall: 0.13250 F1: 0.18551 F2: 0.14960 Total predictions: 11000 True positives: 265 False positives: 592 False negatives: 1735 True negatives: 8408 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.81108 Precision: 0.32857 Recall: 0.21850 F1: 0.26246 F2: 0.23419 Total predictions: 13000 True positives: 437 False positives: 893 False negatives: 1563 True negatives: 10107 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83069 Precision: 0.41299 Recall: 0.23850 F1: 0.30238 F2: 0.26051 Total predictions: 13000 True positives: 477 False positives: 678 False negatives: 1523 True negatives: 10322 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.83429 Precision: 0.31308 Recall: 0.13400 F1: 0.18768 F2: 0.15131 Total predictions: 14000 True positives: 268 False positives: 588 False negatives: 1732 True negatives: 11412 ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84864 Precision: 0.45679 Recall: 0.31450 F1: 0.37252 F2: 0.33540 Total predictions: 14000 True positives: 629 False positives: 748 False negatives: 1371 True negatives: 11252 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'other'] Accuracy: 0.81877 Precision: 0.27916 Recall: 0.11250 F1: 0.16037 F2: 0.12775 Total predictions: 13000 True positives: 225 False positives: 581 False negatives: 1775 True negatives: 10419 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'director_fees'] Accuracy: 0.33517 Precision: 0.19154 Recall: 0.92800 F1: 0.31754 F2: 0.52459 Total predictions: 12000 True positives: 1856 False positives: 7834 False negatives: 144 True negatives: 2166 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'resto_dirfees'] Accuracy: 0.24391 Precision: 0.18525 Recall: 0.92950 F1: 0.30893 F2: 0.51539 Total predictions: 11000 True positives: 1859 False positives: 8176 False negatives: 141 True negatives: 824 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'bonus'] Accuracy: 0.84917 Precision: 0.58092 Recall: 0.34100 F1: 0.42974 F2: 0.37170 Total predictions: 12000 True positives: 682 False positives: 492 False negatives: 1318 True negatives: 9508 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'total_stock_value'] Accuracy: 0.85693 Precision: 0.49890 Recall: 0.34050 F1: 0.40475 F2: 0.36359 Total predictions: 14000 True positives: 681 False positives: 684 False negatives: 1319 True negatives: 11316 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.80036 Precision: 0.39394 Recall: 0.18200 F1: 0.24897 F2: 0.20394 Total predictions: 11000 True positives: 364 False positives: 560 False negatives: 1636 True negatives: 8440 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75618 Precision: 0.27083 Recall: 0.20150 F1: 0.23108 F2: 0.21237 Total predictions: 11000 True positives: 403 False positives: 1085 False negatives: 1597 True negatives: 7915 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'restricted_stock'] Accuracy: 0.83392 Precision: 0.42908 Recall: 0.24050 F1: 0.30823 F2: 0.26368 Total predictions: 13000 True positives: 481 False positives: 640 False negatives: 1519 True negatives: 10360 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'salary'] Accuracy: 0.84508 Precision: 0.49420 Recall: 0.29800 F1: 0.37180 F2: 0.32370 Total predictions: 13000 True positives: 596 False positives: 610 False negatives: 1404 True negatives: 10390 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'total_payments'] Accuracy: 0.84221 Precision: 0.36688 Recall: 0.14400 F1: 0.20682 F2: 0.16392 Total predictions: 14000 True positives: 288 False positives: 497 False negatives: 1712 True negatives: 11503 ['poi', 'to_messages', 'deferred_income', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_messages', 'exercised_stock_options'] Accuracy: 0.86057 Precision: 0.51739 Recall: 0.35700 F1: 0.42249 F2: 0.38060 Total predictions: 14000 True positives: 714 False positives: 666 False negatives: 1286 True negatives: 11334 ['poi', 'to_messages', 'deferred_income', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'director_fees'] Accuracy: 0.28008 Precision: 0.16926 Recall: 0.94150 F1: 0.28693 F2: 0.49229 Total predictions: 13000 True positives: 1883 False positives: 9242 False negatives: 117 True negatives: 1758 ['poi', 'to_messages', 'deferred_income', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'resto_dirfees'] Accuracy: 0.18208 Precision: 0.15220 Recall: 0.94450 F1: 0.26216 F2: 0.46274 Total predictions: 13000 True positives: 1889 False positives: 10522 False negatives: 111 True negatives: 478 ['poi', 'to_messages', 'deferred_income', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'bonus'] Accuracy: 0.83846 Precision: 0.44541 Recall: 0.20400 F1: 0.27984 F2: 0.22880 Total predictions: 13000 True positives: 408 False positives: 508 False negatives: 1592 True negatives: 10492 ['poi', 'to_messages', 'deferred_income', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'total_stock_value'] Accuracy: 0.85627 Precision: 0.43182 Recall: 0.24700 F1: 0.31425 F2: 0.27012 Total predictions: 15000 True positives: 494 False positives: 650 False negatives: 1506 True negatives: 12350 ['poi', 'to_messages', 'deferred_income', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'from_poi_to_this_person'] Accuracy: 0.81708 Precision: 0.26316 Recall: 0.10500 F1: 0.15011 F2: 0.11935 Total predictions: 13000 True positives: 210 False positives: 588 False negatives: 1790 True negatives: 10412 ['poi', 'to_messages', 'deferred_income', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'from_this_person_to_poi'] Accuracy: 0.80900 Precision: 0.23077 Recall: 0.10350 F1: 0.14291 F2: 0.11633 Total predictions: 13000 True positives: 207 False positives: 690 False negatives: 1793 True negatives: 10310 ['poi', 'to_messages', 'deferred_income', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'restricted_stock'] Accuracy: 0.83729 Precision: 0.36210 Recall: 0.18250 F1: 0.24269 F2: 0.20260 Total predictions: 14000 True positives: 365 False positives: 643 False negatives: 1635 True negatives: 11357 ['poi', 'to_messages', 'deferred_income', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'salary'] Accuracy: 0.83162 Precision: 0.39225 Recall: 0.17200 F1: 0.23914 F2: 0.19376 Total predictions: 13000 True positives: 344 False positives: 533 False negatives: 1656 True negatives: 10467 ['poi', 'to_messages', 'deferred_income', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'total_payments'] Accuracy: 0.83114 Precision: 0.28282 Recall: 0.11850 F1: 0.16702 F2: 0.13408 Total predictions: 14000 True positives: 237 False positives: 601 False negatives: 1763 True negatives: 11399 ['poi', 'to_messages', 'deferred_income', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'other', 'exercised_stock_options'] Accuracy: 0.85164 Precision: 0.46419 Recall: 0.24950 F1: 0.32455 F2: 0.27493 Total predictions: 14000 True positives: 499 False positives: 576 False negatives: 1501 True negatives: 11424 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'resto_dirfees'] Accuracy: 0.30833 Precision: 0.19417 Recall: 1.00000 F1: 0.32520 F2: 0.54645 Total predictions: 12000 True positives: 2000 False positives: 8300 False negatives: 0 True negatives: 1700 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'bonus'] Accuracy: 0.28931 Precision: 0.17795 Recall: 1.00000 F1: 0.30214 F2: 0.51978 Total predictions: 13000 True positives: 2000 False positives: 9239 False negatives: 0 True negatives: 1761 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'total_stock_value'] Accuracy: 0.25487 Precision: 0.15130 Recall: 0.99550 F1: 0.26268 F2: 0.47049 Total predictions: 15000 True positives: 1991 False positives: 11168 False negatives: 9 True negatives: 1832 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30942 Precision: 0.19377 Recall: 0.99450 F1: 0.32434 F2: 0.54448 Total predictions: 12000 True positives: 1989 False positives: 8276 False negatives: 11 True negatives: 1724 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30483 Precision: 0.18467 Recall: 0.92850 F1: 0.30806 F2: 0.51423 Total predictions: 12000 True positives: 1857 False positives: 8199 False negatives: 143 True negatives: 1801 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'restricted_stock'] Accuracy: 0.26407 Precision: 0.16179 Recall: 0.99300 F1: 0.27825 F2: 0.48977 Total predictions: 14000 True positives: 1986 False positives: 10289 False negatives: 14 True negatives: 1711 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'salary'] Accuracy: 0.28046 Precision: 0.17500 Recall: 0.99000 F1: 0.29743 F2: 0.51258 Total predictions: 13000 True positives: 1980 False positives: 9334 False negatives: 20 True negatives: 1666 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'total_payments'] Accuracy: 0.63714 Precision: 0.17428 Recall: 0.41200 F1: 0.24495 F2: 0.32370 Total predictions: 14000 True positives: 824 False positives: 3904 False negatives: 1176 True negatives: 8096 ['poi', 'to_messages', 'deferred_income', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'director_fees', 'exercised_stock_options'] Accuracy: 0.26457 Precision: 0.16221 Recall: 0.99600 F1: 0.27899 F2: 0.49112 Total predictions: 14000 True positives: 1992 False positives: 10288 False negatives: 8 True negatives: 1712 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'bonus'] Accuracy: 0.19908 Precision: 0.17225 Recall: 1.00000 F1: 0.29388 F2: 0.50992 Total predictions: 12000 True positives: 2000 False positives: 9611 False negatives: 0 True negatives: 389 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22850 Precision: 0.14989 Recall: 0.94200 F1: 0.25863 F2: 0.45797 Total predictions: 14000 True positives: 1884 False positives: 10685 False negatives: 116 True negatives: 1315 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21964 Precision: 0.18885 Recall: 0.99900 F1: 0.31765 F2: 0.53767 Total predictions: 11000 True positives: 1998 False positives: 8582 False negatives: 2 True negatives: 418 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.21036 Precision: 0.17893 Recall: 0.93150 F1: 0.30019 F2: 0.50592 Total predictions: 11000 True positives: 1863 False positives: 8549 False negatives: 137 True negatives: 451 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18723 Precision: 0.15856 Recall: 0.99450 F1: 0.27351 F2: 0.48408 Total predictions: 13000 True positives: 1989 False positives: 10555 False negatives: 11 True negatives: 445 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'salary'] Accuracy: 0.18662 Precision: 0.15813 Recall: 0.99150 F1: 0.27276 F2: 0.48272 Total predictions: 13000 True positives: 1983 False positives: 10557 False negatives: 17 True negatives: 443 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'total_payments'] Accuracy: 0.23200 Precision: 0.14353 Recall: 0.88100 F1: 0.24685 F2: 0.43450 Total predictions: 14000 True positives: 1762 False positives: 10514 False negatives: 238 True negatives: 1486 ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22664 Precision: 0.15047 Recall: 0.95000 F1: 0.25979 F2: 0.46056 Total predictions: 14000 True positives: 1900 False positives: 10727 False negatives: 100 True negatives: 1273 ['poi', 'to_messages', 'deferred_income', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'total_stock_value'] Accuracy: 0.85150 Precision: 0.47347 Recall: 0.35250 F1: 0.40413 F2: 0.37148 Total predictions: 14000 True positives: 705 False positives: 784 False negatives: 1295 True negatives: 11216 ['poi', 'to_messages', 'deferred_income', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.85033 Precision: 0.58870 Recall: 0.33850 F1: 0.42984 F2: 0.36995 Total predictions: 12000 True positives: 677 False positives: 473 False negatives: 1323 True negatives: 9527 ['poi', 'to_messages', 'deferred_income', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.84392 Precision: 0.55296 Recall: 0.33150 F1: 0.41450 F2: 0.36037 Total predictions: 12000 True positives: 663 False positives: 536 False negatives: 1337 True negatives: 9464 ['poi', 'to_messages', 'deferred_income', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'restricted_stock'] Accuracy: 0.83977 Precision: 0.46868 Recall: 0.31050 F1: 0.37353 F2: 0.33298 Total predictions: 13000 True positives: 621 False positives: 704 False negatives: 1379 True negatives: 10296 ['poi', 'to_messages', 'deferred_income', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'salary'] Accuracy: 0.84769 Precision: 0.50846 Recall: 0.30050 F1: 0.37775 F2: 0.32727 Total predictions: 13000 True positives: 601 False positives: 581 False negatives: 1399 True negatives: 10419 ['poi', 'to_messages', 'deferred_income', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'total_payments'] Accuracy: 0.85314 Precision: 0.47077 Recall: 0.22550 F1: 0.30494 F2: 0.25173 Total predictions: 14000 True positives: 451 False positives: 507 False negatives: 1549 True negatives: 11493 ['poi', 'to_messages', 'deferred_income', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'bonus', 'exercised_stock_options'] Accuracy: 0.85714 Precision: 0.50000 Recall: 0.34450 F1: 0.40793 F2: 0.36735 Total predictions: 14000 True positives: 689 False positives: 689 False negatives: 1311 True negatives: 11311 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85164 Precision: 0.47081 Recall: 0.31050 F1: 0.37421 F2: 0.33319 Total predictions: 14000 True positives: 621 False positives: 698 False negatives: 1379 True negatives: 11302 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85114 Precision: 0.46804 Recall: 0.30750 F1: 0.37115 F2: 0.33015 Total predictions: 14000 True positives: 615 False positives: 699 False negatives: 1385 True negatives: 11301 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85307 Precision: 0.47881 Recall: 0.32200 F1: 0.38505 F2: 0.34457 Total predictions: 14000 True positives: 644 False positives: 701 False negatives: 1356 True negatives: 11299 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'salary'] Accuracy: 0.85507 Precision: 0.48846 Recall: 0.30700 F1: 0.37703 F2: 0.33164 Total predictions: 14000 True positives: 614 False positives: 643 False negatives: 1386 True negatives: 11357 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'total_payments'] Accuracy: 0.84753 Precision: 0.38970 Recall: 0.25350 F1: 0.30718 F2: 0.27255 Total predictions: 15000 True positives: 507 False positives: 794 False negatives: 1493 True negatives: 12206 ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85214 Precision: 0.47535 Recall: 0.33750 F1: 0.39474 F2: 0.35828 Total predictions: 14000 True positives: 675 False positives: 745 False negatives: 1325 True negatives: 11255 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79627 Precision: 0.34689 Recall: 0.13650 F1: 0.19591 F2: 0.15534 Total predictions: 11000 True positives: 273 False positives: 514 False negatives: 1727 True negatives: 8486 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82592 Precision: 0.38575 Recall: 0.22200 F1: 0.28182 F2: 0.24260 Total predictions: 13000 True positives: 444 False positives: 707 False negatives: 1556 True negatives: 10293 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83777 Precision: 0.45147 Recall: 0.25350 F1: 0.32469 F2: 0.27787 Total predictions: 13000 True positives: 507 False positives: 616 False negatives: 1493 True negatives: 10384 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84043 Precision: 0.34646 Recall: 0.13200 F1: 0.19117 F2: 0.15065 Total predictions: 14000 True positives: 264 False positives: 498 False negatives: 1736 True negatives: 11502 ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86229 Precision: 0.52917 Recall: 0.32650 F1: 0.40383 F2: 0.35358 Total predictions: 14000 True positives: 653 False positives: 581 False negatives: 1347 True negatives: 11419 ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81754 Precision: 0.34829 Recall: 0.21350 F1: 0.26472 F2: 0.23141 Total predictions: 13000 True positives: 427 False positives: 799 False negatives: 1573 True negatives: 10201 ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83285 Precision: 0.42445 Recall: 0.24300 F1: 0.30906 F2: 0.26572 Total predictions: 13000 True positives: 486 False positives: 659 False negatives: 1514 True negatives: 10341 ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84021 Precision: 0.34305 Recall: 0.12950 F1: 0.18802 F2: 0.14792 Total predictions: 14000 True positives: 259 False positives: 496 False negatives: 1741 True negatives: 11504 ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86171 Precision: 0.52602 Recall: 0.32350 F1: 0.40062 F2: 0.35049 Total predictions: 14000 True positives: 647 False positives: 583 False negatives: 1353 True negatives: 11417 ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'salary'] Accuracy: 0.84429 Precision: 0.43151 Recall: 0.28350 F1: 0.34218 F2: 0.30438 Total predictions: 14000 True positives: 567 False positives: 747 False negatives: 1433 True negatives: 11253 ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'total_payments'] Accuracy: 0.83564 Precision: 0.35459 Recall: 0.18350 F1: 0.24185 F2: 0.20310 Total predictions: 14000 True positives: 367 False positives: 668 False negatives: 1633 True negatives: 11332 ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85236 Precision: 0.47549 Recall: 0.32500 F1: 0.38610 F2: 0.34696 Total predictions: 14000 True positives: 650 False positives: 717 False negatives: 1350 True negatives: 11283 ['poi', 'to_messages', 'deferred_income', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'salary', 'total_payments'] Accuracy: 0.84671 Precision: 0.41412 Recall: 0.17600 F1: 0.24702 F2: 0.19887 Total predictions: 14000 True positives: 352 False positives: 498 False negatives: 1648 True negatives: 11502 ['poi', 'to_messages', 'deferred_income', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'salary', 'exercised_stock_options'] Accuracy: 0.85636 Precision: 0.49542 Recall: 0.29750 F1: 0.37176 F2: 0.32333 Total predictions: 14000 True positives: 595 False positives: 606 False negatives: 1405 True negatives: 11394 ['poi', 'to_messages', 'deferred_income', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'deferred_income', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84720 Precision: 0.38301 Recall: 0.23900 F1: 0.29433 F2: 0.25843 Total predictions: 15000 True positives: 478 False positives: 770 False negatives: 1522 True negatives: 12230 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.30942 Precision: 0.18662 Recall: 0.93600 F1: 0.31120 F2: 0.51911 Total predictions: 12000 True positives: 1872 False positives: 8159 False negatives: 128 True negatives: 1841 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33908 Precision: 0.18990 Recall: 0.90800 F1: 0.31411 F2: 0.51700 Total predictions: 12000 True positives: 1816 False positives: 7747 False negatives: 184 True negatives: 2253 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.27277 Precision: 0.16167 Recall: 0.89050 F1: 0.27366 F2: 0.46829 Total predictions: 13000 True positives: 1781 False positives: 9235 False negatives: 219 True negatives: 1765 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.38592 Precision: 0.20034 Recall: 1.00000 F1: 0.33381 F2: 0.55608 Total predictions: 13000 True positives: 2000 False positives: 7983 False negatives: 0 True negatives: 3017 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31875 Precision: 0.19656 Recall: 1.00000 F1: 0.32854 F2: 0.55021 Total predictions: 12000 True positives: 2000 False positives: 8175 False negatives: 0 True negatives: 1825 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.30967 Precision: 0.19424 Recall: 0.99800 F1: 0.32519 F2: 0.54607 Total predictions: 12000 True positives: 1996 False positives: 8280 False negatives: 4 True negatives: 1720 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26214 Precision: 0.15635 Recall: 0.94750 F1: 0.26841 F2: 0.47092 Total predictions: 14000 True positives: 1895 False positives: 10225 False negatives: 105 True negatives: 1775 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.31458 Precision: 0.19186 Recall: 0.96900 F1: 0.32030 F2: 0.53533 Total predictions: 12000 True positives: 1938 False positives: 8163 False negatives: 62 True negatives: 1837 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30233 Precision: 0.17792 Recall: 0.88000 F1: 0.29600 F2: 0.49184 Total predictions: 12000 True positives: 1760 False positives: 8132 False negatives: 240 True negatives: 1868 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28208 Precision: 0.16936 Recall: 0.93900 F1: 0.28696 F2: 0.49191 Total predictions: 13000 True positives: 1878 False positives: 9211 False negatives: 122 True negatives: 1789 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.29483 Precision: 0.18311 Recall: 0.93350 F1: 0.30617 F2: 0.51302 Total predictions: 12000 True positives: 1867 False positives: 8329 False negatives: 133 True negatives: 1671 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.24621 Precision: 0.14660 Recall: 0.88700 F1: 0.25161 F2: 0.44127 Total predictions: 14000 True positives: 1774 False positives: 10327 False negatives: 226 True negatives: 1673 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.27962 Precision: 0.16964 Recall: 0.94550 F1: 0.28767 F2: 0.49381 Total predictions: 13000 True positives: 1891 False positives: 9256 False negatives: 109 True negatives: 1744 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.75045 Precision: 0.25084 Recall: 0.18750 F1: 0.21459 F2: 0.19747 Total predictions: 11000 True positives: 375 False positives: 1120 False negatives: 1625 True negatives: 7880 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78342 Precision: 0.05097 Recall: 0.01700 F1: 0.02550 F2: 0.01961 Total predictions: 12000 True positives: 34 False positives: 633 False negatives: 1966 True negatives: 9367 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29258 Precision: 0.18257 Recall: 0.93300 F1: 0.30538 F2: 0.51205 Total predictions: 12000 True positives: 1866 False positives: 8355 False negatives: 134 True negatives: 1645 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21064 Precision: 0.18009 Recall: 0.94050 F1: 0.30229 F2: 0.50989 Total predictions: 11000 True positives: 1881 False positives: 8564 False negatives: 119 True negatives: 436 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.79164 Precision: 0.36606 Recall: 0.19950 F1: 0.25825 F2: 0.21947 Total predictions: 11000 True positives: 399 False positives: 691 False negatives: 1601 True negatives: 8309 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.82393 Precision: 0.33333 Recall: 0.23250 F1: 0.27393 F2: 0.24747 Total predictions: 14000 True positives: 465 False positives: 930 False negatives: 1535 True negatives: 11070 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78355 Precision: 0.28179 Recall: 0.12300 F1: 0.17125 F2: 0.13862 Total predictions: 11000 True positives: 246 False positives: 627 False negatives: 1754 True negatives: 8373 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.77236 Precision: 0.14205 Recall: 0.05000 F1: 0.07396 F2: 0.05744 Total predictions: 11000 True positives: 100 False positives: 604 False negatives: 1900 True negatives: 8396 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.79977 Precision: 0.23941 Recall: 0.13850 F1: 0.17548 F2: 0.15125 Total predictions: 13000 True positives: 277 False positives: 880 False negatives: 1723 True negatives: 10120 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80375 Precision: 0.30516 Recall: 0.13900 F1: 0.19100 F2: 0.15599 Total predictions: 12000 True positives: 278 False positives: 633 False negatives: 1722 True negatives: 9367 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82036 Precision: 0.15894 Recall: 0.06000 F1: 0.08711 F2: 0.06853 Total predictions: 14000 True positives: 120 False positives: 635 False negatives: 1880 True negatives: 11365 ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82369 Precision: 0.37627 Recall: 0.22200 F1: 0.27925 F2: 0.24183 Total predictions: 13000 True positives: 444 False positives: 736 False negatives: 1556 True negatives: 10264 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.77600 Precision: 0.14017 Recall: 0.06700 F1: 0.09066 F2: 0.07481 Total predictions: 12000 True positives: 134 False positives: 822 False negatives: 1866 True negatives: 9178 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.31067 Precision: 0.17869 Recall: 0.87200 F1: 0.29660 F2: 0.49099 Total predictions: 12000 True positives: 1744 False positives: 8016 False negatives: 256 True negatives: 1984 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.24109 Precision: 0.18203 Recall: 0.90850 F1: 0.30329 F2: 0.50523 Total predictions: 11000 True positives: 1817 False positives: 8165 False negatives: 183 True negatives: 835 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.77873 Precision: 0.30762 Recall: 0.17350 F1: 0.22187 F2: 0.19007 Total predictions: 11000 True positives: 347 False positives: 781 False negatives: 1653 True negatives: 8219 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.84457 Precision: 0.43049 Recall: 0.27250 F1: 0.33374 F2: 0.29409 Total predictions: 14000 True positives: 545 False positives: 721 False negatives: 1455 True negatives: 11279 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.74082 Precision: 0.24985 Recall: 0.21250 F1: 0.22967 F2: 0.21905 Total predictions: 11000 True positives: 425 False positives: 1276 False negatives: 1575 True negatives: 7724 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.72327 Precision: 0.18780 Recall: 0.15700 F1: 0.17102 F2: 0.16232 Total predictions: 11000 True positives: 314 False positives: 1358 False negatives: 1686 True negatives: 7642 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.81008 Precision: 0.30009 Recall: 0.17600 F1: 0.22187 F2: 0.19187 Total predictions: 13000 True positives: 352 False positives: 821 False negatives: 1648 True negatives: 10179 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.80950 Precision: 0.38898 Recall: 0.25050 F1: 0.30474 F2: 0.26970 Total predictions: 12000 True positives: 501 False positives: 787 False negatives: 1499 True negatives: 9213 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.82314 Precision: 0.18267 Recall: 0.06850 F1: 0.09964 F2: 0.07829 Total predictions: 14000 True positives: 137 False positives: 613 False negatives: 1863 True negatives: 11387 ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83046 Precision: 0.42444 Recall: 0.28650 F1: 0.34209 F2: 0.30642 Total predictions: 13000 True positives: 573 False positives: 777 False negatives: 1427 True negatives: 10223 ['poi', 'to_messages', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.26892 Precision: 0.16039 Recall: 0.88600 F1: 0.27161 F2: 0.46514 Total predictions: 13000 True positives: 1772 False positives: 9276 False negatives: 228 True negatives: 1724 ['poi', 'to_messages', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.18425 Precision: 0.15575 Recall: 0.88100 F1: 0.26470 F2: 0.45617 Total predictions: 12000 True positives: 1762 False positives: 9551 False negatives: 238 True negatives: 449 ['poi', 'to_messages', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.79483 Precision: 0.21760 Recall: 0.08900 F1: 0.12633 F2: 0.10093 Total predictions: 12000 True positives: 178 False positives: 640 False negatives: 1822 True negatives: 9360 ['poi', 'to_messages', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.84014 Precision: 0.37656 Recall: 0.18150 F1: 0.24494 F2: 0.20248 Total predictions: 14000 True positives: 363 False positives: 601 False negatives: 1637 True negatives: 11399 ['poi', 'to_messages', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.79450 Precision: 0.08094 Recall: 0.02250 F1: 0.03521 F2: 0.02630 Total predictions: 12000 True positives: 45 False positives: 511 False negatives: 1955 True negatives: 9489 ['poi', 'to_messages', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.78092 Precision: 0.04486 Recall: 0.01550 F1: 0.02304 F2: 0.01783 Total predictions: 12000 True positives: 31 False positives: 660 False negatives: 1969 True negatives: 9340 ['poi', 'to_messages', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.81262 Precision: 0.18768 Recall: 0.06550 F1: 0.09711 F2: 0.07530 Total predictions: 13000 True positives: 131 False positives: 567 False negatives: 1869 True negatives: 10433 ['poi', 'to_messages', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.81058 Precision: 0.24294 Recall: 0.06450 F1: 0.10194 F2: 0.07561 Total predictions: 12000 True positives: 129 False positives: 402 False negatives: 1871 True negatives: 9598 ['poi', 'to_messages', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.82250 Precision: 0.15007 Recall: 0.05200 F1: 0.07724 F2: 0.05982 Total predictions: 14000 True positives: 104 False positives: 589 False negatives: 1896 True negatives: 11411 ['poi', 'to_messages', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.83850 Precision: 0.37015 Recall: 0.18600 F1: 0.24759 F2: 0.20655 Total predictions: 14000 True positives: 372 False positives: 633 False negatives: 1628 True negatives: 11367 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.30075 Precision: 0.19242 Recall: 0.99950 F1: 0.32271 F2: 0.54353 Total predictions: 12000 True positives: 1999 False positives: 8390 False negatives: 1 True negatives: 1610 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.28362 Precision: 0.17627 Recall: 0.99550 F1: 0.29951 F2: 0.51594 Total predictions: 13000 True positives: 1991 False positives: 9304 False negatives: 9 True negatives: 1696 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.24187 Precision: 0.14446 Recall: 0.95200 F1: 0.25086 F2: 0.44948 Total predictions: 15000 True positives: 1904 False positives: 11276 False negatives: 96 True negatives: 1724 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29250 Precision: 0.18280 Recall: 0.93500 F1: 0.30581 F2: 0.51289 Total predictions: 12000 True positives: 1870 False positives: 8360 False negatives: 130 True negatives: 1640 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28575 Precision: 0.17331 Recall: 0.87150 F1: 0.28913 F2: 0.48264 Total predictions: 12000 True positives: 1743 False positives: 8314 False negatives: 257 True negatives: 1686 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.25464 Precision: 0.15354 Recall: 0.93450 F1: 0.26374 F2: 0.46324 Total predictions: 14000 True positives: 1869 False positives: 10304 False negatives: 131 True negatives: 1696 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.27031 Precision: 0.16640 Recall: 0.93350 F1: 0.28245 F2: 0.48569 Total predictions: 13000 True positives: 1867 False positives: 9353 False negatives: 133 True negatives: 1647 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.49279 Precision: 0.16699 Recall: 0.63950 F1: 0.26483 F2: 0.40839 Total predictions: 14000 True positives: 1279 False positives: 6380 False negatives: 721 True negatives: 5620 ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25450 Precision: 0.15504 Recall: 0.94800 F1: 0.26650 F2: 0.46863 Total predictions: 14000 True positives: 1896 False positives: 10333 False negatives: 104 True negatives: 1667 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.20100 Precision: 0.17231 Recall: 0.99750 F1: 0.29386 F2: 0.50950 Total predictions: 12000 True positives: 1995 False positives: 9583 False negatives: 5 True negatives: 417 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19879 Precision: 0.14278 Recall: 0.92100 F1: 0.24723 F2: 0.44065 Total predictions: 14000 True positives: 1842 False positives: 11059 False negatives: 158 True negatives: 941 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21364 Precision: 0.18285 Recall: 0.95850 F1: 0.30711 F2: 0.51856 Total predictions: 11000 True positives: 1917 False positives: 8567 False negatives: 83 True negatives: 433 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20264 Precision: 0.17128 Recall: 0.88200 F1: 0.28685 F2: 0.48199 Total predictions: 11000 True positives: 1764 False positives: 8535 False negatives: 236 True negatives: 465 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17954 Precision: 0.15118 Recall: 0.93900 F1: 0.26044 F2: 0.45980 Total predictions: 13000 True positives: 1878 False positives: 10544 False negatives: 122 True negatives: 456 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.19442 Precision: 0.16470 Recall: 0.94150 F1: 0.28035 F2: 0.48449 Total predictions: 12000 True positives: 1883 False positives: 9550 False negatives: 117 True negatives: 450 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.22293 Precision: 0.13649 Recall: 0.83350 F1: 0.23457 F2: 0.41236 Total predictions: 14000 True positives: 1667 False positives: 10546 False negatives: 333 True negatives: 1454 ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.19408 Precision: 0.15204 Recall: 0.92600 F1: 0.26119 F2: 0.45885 Total predictions: 13000 True positives: 1852 False positives: 10329 False negatives: 148 True negatives: 671 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.83079 Precision: 0.36543 Recall: 0.25050 F1: 0.29724 F2: 0.26731 Total predictions: 14000 True positives: 501 False positives: 870 False negatives: 1499 True negatives: 11130 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80482 Precision: 0.42320 Recall: 0.20250 F1: 0.27393 F2: 0.22608 Total predictions: 11000 True positives: 405 False positives: 552 False negatives: 1595 True negatives: 8448 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79364 Precision: 0.33774 Recall: 0.14050 F1: 0.19845 F2: 0.15908 Total predictions: 11000 True positives: 281 False positives: 551 False negatives: 1719 True negatives: 8449 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.81092 Precision: 0.30293 Recall: 0.17600 F1: 0.22264 F2: 0.19210 Total predictions: 13000 True positives: 352 False positives: 810 False negatives: 1648 True negatives: 10190 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.81608 Precision: 0.39363 Recall: 0.19150 F1: 0.25765 F2: 0.21342 Total predictions: 12000 True positives: 383 False positives: 590 False negatives: 1617 True negatives: 9410 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.82386 Precision: 0.21020 Recall: 0.08450 F1: 0.12054 F2: 0.09598 Total predictions: 14000 True positives: 169 False positives: 635 False negatives: 1831 True negatives: 11365 ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.82892 Precision: 0.41195 Recall: 0.26200 F1: 0.32029 F2: 0.28257 Total predictions: 13000 True positives: 524 False positives: 748 False negatives: 1476 True negatives: 10252 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84014 Precision: 0.40034 Recall: 0.23900 F1: 0.29931 F2: 0.25995 Total predictions: 14000 True positives: 478 False positives: 716 False negatives: 1522 True negatives: 11284 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84064 Precision: 0.40187 Recall: 0.23650 F1: 0.29777 F2: 0.25771 Total predictions: 14000 True positives: 473 False positives: 704 False negatives: 1527 True negatives: 11296 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85079 Precision: 0.46154 Recall: 0.26700 F1: 0.33830 F2: 0.29158 Total predictions: 14000 True positives: 534 False positives: 623 False negatives: 1466 True negatives: 11377 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.84143 Precision: 0.40468 Recall: 0.23350 F1: 0.29613 F2: 0.25508 Total predictions: 14000 True positives: 467 False positives: 687 False negatives: 1533 True negatives: 11313 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.83753 Precision: 0.30749 Recall: 0.17450 F1: 0.22265 F2: 0.19102 Total predictions: 15000 True positives: 349 False positives: 786 False negatives: 1651 True negatives: 12214 ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83707 Precision: 0.39722 Recall: 0.27150 F1: 0.32254 F2: 0.28985 Total predictions: 14000 True positives: 543 False positives: 824 False negatives: 1457 True negatives: 11176 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78264 Precision: 0.17253 Recall: 0.05150 F1: 0.07932 F2: 0.05990 Total predictions: 11000 True positives: 103 False positives: 494 False negatives: 1897 True negatives: 8506 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81546 Precision: 0.28754 Recall: 0.13500 F1: 0.18374 F2: 0.15102 Total predictions: 13000 True positives: 270 False positives: 669 False negatives: 1730 True negatives: 10331 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81300 Precision: 0.34439 Recall: 0.13500 F1: 0.19397 F2: 0.15369 Total predictions: 12000 True positives: 270 False positives: 514 False negatives: 1730 True negatives: 9486 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83029 Precision: 0.20064 Recall: 0.06300 F1: 0.09589 F2: 0.07302 Total predictions: 14000 True positives: 126 False positives: 502 False negatives: 1874 True negatives: 11498 ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82969 Precision: 0.40429 Recall: 0.22600 F1: 0.28993 F2: 0.24786 Total predictions: 13000 True positives: 452 False positives: 666 False negatives: 1548 True negatives: 10334 ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80762 Precision: 0.25223 Recall: 0.12750 F1: 0.16938 F2: 0.14149 Total predictions: 13000 True positives: 255 False positives: 756 False negatives: 1745 True negatives: 10244 ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80400 Precision: 0.29909 Recall: 0.13100 F1: 0.18220 F2: 0.14759 Total predictions: 12000 True positives: 262 False positives: 614 False negatives: 1738 True negatives: 9386 ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82907 Precision: 0.19249 Recall: 0.06150 F1: 0.09322 F2: 0.07119 Total predictions: 14000 True positives: 123 False positives: 516 False negatives: 1877 True negatives: 11484 ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83262 Precision: 0.41822 Recall: 0.22500 F1: 0.29259 F2: 0.24791 Total predictions: 13000 True positives: 450 False positives: 626 False negatives: 1550 True negatives: 10374 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.82215 Precision: 0.32472 Recall: 0.14450 F1: 0.20000 F2: 0.16254 Total predictions: 13000 True positives: 289 False positives: 601 False negatives: 1711 True negatives: 10399 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82264 Precision: 0.19078 Recall: 0.07450 F1: 0.10716 F2: 0.08484 Total predictions: 14000 True positives: 149 False positives: 632 False negatives: 1851 True negatives: 11368 ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84071 Precision: 0.41288 Recall: 0.27250 F1: 0.32831 F2: 0.29238 Total predictions: 14000 True positives: 545 False positives: 775 False negatives: 1455 True negatives: 11225 ['poi', 'to_messages', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.83079 Precision: 0.21127 Recall: 0.06750 F1: 0.10231 F2: 0.07813 Total predictions: 14000 True positives: 135 False positives: 504 False negatives: 1865 True negatives: 11496 ['poi', 'to_messages', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.83892 Precision: 0.45337 Recall: 0.22850 F1: 0.30386 F2: 0.25366 Total predictions: 13000 True positives: 457 False positives: 551 False negatives: 1543 True negatives: 10449 ['poi', 'to_messages', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84740 Precision: 0.35650 Recall: 0.17950 F1: 0.23878 F2: 0.19929 Total predictions: 15000 True positives: 359 False positives: 648 False negatives: 1641 True negatives: 12352 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.30740 Precision: 0.11054 Recall: 0.84100 F1: 0.19540 F2: 0.36225 Total predictions: 10000 True positives: 841 False positives: 6767 False negatives: 159 True negatives: 2233 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.27262 Precision: 0.16121 Recall: 0.88700 F1: 0.27284 F2: 0.46674 Total predictions: 13000 True positives: 1774 False positives: 9230 False negatives: 226 True negatives: 1770 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.36791 Precision: 0.12126 Recall: 0.95300 F1: 0.21515 F2: 0.40180 Total predictions: 11000 True positives: 953 False positives: 6906 False negatives: 47 True negatives: 3094 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.28040 Precision: 0.11668 Recall: 0.94300 F1: 0.20766 F2: 0.39025 Total predictions: 10000 True positives: 943 False positives: 7139 False negatives: 57 True negatives: 1861 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.31350 Precision: 0.19428 Recall: 0.99100 F1: 0.32486 F2: 0.54445 Total predictions: 12000 True positives: 1982 False positives: 8220 False negatives: 18 True negatives: 1780 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26300 Precision: 0.15713 Recall: 0.95300 F1: 0.26978 F2: 0.47342 Total predictions: 14000 True positives: 1906 False positives: 10224 False negatives: 94 True negatives: 1776 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.27810 Precision: 0.11377 Recall: 0.91600 F1: 0.20241 F2: 0.38005 Total predictions: 10000 True positives: 916 False positives: 7135 False negatives: 84 True negatives: 1865 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.27300 Precision: 0.10576 Recall: 0.84100 F1: 0.18789 F2: 0.35182 Total predictions: 10000 True positives: 841 False positives: 7111 False negatives: 159 True negatives: 1889 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.29358 Precision: 0.18216 Recall: 0.92800 F1: 0.30454 F2: 0.51020 Total predictions: 12000 True positives: 1856 False positives: 8333 False negatives: 144 True negatives: 1667 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.29358 Precision: 0.18241 Recall: 0.93000 F1: 0.30499 F2: 0.51107 Total predictions: 12000 True positives: 1860 False positives: 8337 False negatives: 140 True negatives: 1663 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.24671 Precision: 0.14756 Recall: 0.89450 F1: 0.25333 F2: 0.44449 Total predictions: 14000 True positives: 1789 False positives: 10335 False negatives: 211 True negatives: 1665 ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.27985 Precision: 0.16844 Recall: 0.93500 F1: 0.28545 F2: 0.48948 Total predictions: 13000 True positives: 1870 False positives: 9232 False negatives: 130 True negatives: 1768 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.29992 Precision: 0.16502 Recall: 0.87450 F1: 0.27764 F2: 0.47019 Total predictions: 13000 True positives: 1749 False positives: 8850 False negatives: 251 True negatives: 2150 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.39200 Precision: 0.12271 Recall: 0.92500 F1: 0.21668 F2: 0.40085 Total predictions: 11000 True positives: 925 False positives: 6613 False negatives: 75 True negatives: 3387 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.30610 Precision: 0.11876 Recall: 0.92500 F1: 0.21049 F2: 0.39231 Total predictions: 10000 True positives: 925 False positives: 6864 False negatives: 75 True negatives: 2136 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.33408 Precision: 0.19286 Recall: 0.94050 F1: 0.32009 F2: 0.52977 Total predictions: 12000 True positives: 1881 False positives: 7872 False negatives: 119 True negatives: 2128 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.27971 Precision: 0.15459 Recall: 0.90450 F1: 0.26405 F2: 0.45909 Total predictions: 14000 True positives: 1809 False positives: 9893 False negatives: 191 True negatives: 2107 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.30990 Precision: 0.11335 Recall: 0.86500 F1: 0.20044 F2: 0.37185 Total predictions: 10000 True positives: 865 False positives: 6766 False negatives: 135 True negatives: 2234 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.30000 Precision: 0.11029 Recall: 0.84900 F1: 0.19522 F2: 0.36288 Total predictions: 10000 True positives: 849 False positives: 6849 False negatives: 151 True negatives: 2151 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.31750 Precision: 0.18367 Recall: 0.89850 F1: 0.30499 F2: 0.50523 Total predictions: 12000 True positives: 1797 False positives: 7987 False negatives: 203 True negatives: 2013 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.32008 Precision: 0.18663 Recall: 0.91700 F1: 0.31014 F2: 0.51439 Total predictions: 12000 True positives: 1834 False positives: 7993 False negatives: 166 True negatives: 2007 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26229 Precision: 0.14368 Recall: 0.83950 F1: 0.24536 F2: 0.42645 Total predictions: 14000 True positives: 1679 False positives: 10007 False negatives: 321 True negatives: 1993 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.30123 Precision: 0.16433 Recall: 0.86700 F1: 0.27629 F2: 0.46734 Total predictions: 13000 True positives: 1734 False positives: 8818 False negatives: 266 True negatives: 2182 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.35114 Precision: 0.17463 Recall: 0.95050 F1: 0.29505 F2: 0.50328 Total predictions: 14000 True positives: 1901 False positives: 8985 False negatives: 99 True negatives: 3015 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.27854 Precision: 0.16890 Recall: 0.94100 F1: 0.28639 F2: 0.49156 Total predictions: 13000 True positives: 1882 False positives: 9261 False negatives: 118 True negatives: 1739 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.27992 Precision: 0.16869 Recall: 0.93700 F1: 0.28591 F2: 0.49034 Total predictions: 13000 True positives: 1874 False positives: 9235 False negatives: 126 True negatives: 1765 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.25336 Precision: 0.14852 Recall: 0.89300 F1: 0.25469 F2: 0.44594 Total predictions: 14000 True positives: 1786 False positives: 10239 False negatives: 214 True negatives: 1761 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.27538 Precision: 0.16401 Recall: 0.90550 F1: 0.27772 F2: 0.47553 Total predictions: 13000 True positives: 1811 False positives: 9231 False negatives: 189 True negatives: 1769 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.26923 Precision: 0.15622 Recall: 0.85200 F1: 0.26402 F2: 0.45060 Total predictions: 13000 True positives: 1704 False positives: 9204 False negatives: 296 True negatives: 1796 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.27477 Precision: 0.16175 Recall: 0.88800 F1: 0.27365 F2: 0.46786 Total predictions: 13000 True positives: 1776 False positives: 9204 False negatives: 224 True negatives: 1796 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.27885 Precision: 0.16154 Recall: 0.88000 F1: 0.27297 F2: 0.46573 Total predictions: 13000 True positives: 1760 False positives: 9135 False negatives: 240 True negatives: 1865 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.24836 Precision: 0.14638 Recall: 0.88200 F1: 0.25109 F2: 0.43988 Total predictions: 14000 True positives: 1764 False positives: 10287 False negatives: 236 True negatives: 1713 ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.25329 Precision: 0.14875 Recall: 0.89500 F1: 0.25509 F2: 0.44674 Total predictions: 14000 True positives: 1790 False positives: 10244 False negatives: 210 True negatives: 1756 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.37200 Precision: 0.12645 Recall: 1.00000 F1: 0.22452 F2: 0.41989 Total predictions: 11000 True positives: 1000 False positives: 6908 False negatives: 0 True negatives: 3092 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.38000 Precision: 0.19881 Recall: 1.00000 F1: 0.33167 F2: 0.55371 Total predictions: 13000 True positives: 2000 False positives: 8060 False negatives: 0 True negatives: 2940 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.34187 Precision: 0.16807 Recall: 0.99650 F1: 0.28763 F2: 0.50181 Total predictions: 15000 True positives: 1993 False positives: 9865 False negatives: 7 True negatives: 3135 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.37218 Precision: 0.12649 Recall: 1.00000 F1: 0.22457 F2: 0.41996 Total predictions: 11000 True positives: 1000 False positives: 6906 False negatives: 0 True negatives: 3094 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.36555 Precision: 0.11815 Recall: 0.92500 F1: 0.20954 F2: 0.39099 Total predictions: 11000 True positives: 925 False positives: 6904 False negatives: 75 True negatives: 3096 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.36079 Precision: 0.18237 Recall: 0.99750 F1: 0.30837 F2: 0.52669 Total predictions: 14000 True positives: 1995 False positives: 8944 False negatives: 5 True negatives: 3056 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.36079 Precision: 0.18208 Recall: 0.99500 F1: 0.30784 F2: 0.52565 Total predictions: 14000 True positives: 1990 False positives: 8939 False negatives: 10 True negatives: 3061 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.34200 Precision: 0.17170 Recall: 0.94300 F1: 0.29051 F2: 0.49673 Total predictions: 14000 True positives: 1886 False positives: 9098 False negatives: 114 True negatives: 2902 ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.35871 Precision: 0.18183 Recall: 0.99700 F1: 0.30757 F2: 0.52568 Total predictions: 14000 True positives: 1994 False positives: 8972 False negatives: 6 True negatives: 3028 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.31483 Precision: 0.19566 Recall: 1.00000 F1: 0.32728 F2: 0.54879 Total predictions: 12000 True positives: 2000 False positives: 8222 False negatives: 0 True negatives: 1778 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26814 Precision: 0.16304 Recall: 0.99750 F1: 0.28028 F2: 0.49293 Total predictions: 14000 True positives: 1995 False positives: 10241 False negatives: 5 True negatives: 1759 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.28610 Precision: 0.12287 Recall: 1.00000 F1: 0.21884 F2: 0.41190 Total predictions: 10000 True positives: 1000 False positives: 7139 False negatives: 0 True negatives: 1861 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.27870 Precision: 0.11472 Recall: 0.92500 F1: 0.20413 F2: 0.38340 Total predictions: 10000 True positives: 925 False positives: 7138 False negatives: 75 True negatives: 1862 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30342 Precision: 0.19253 Recall: 0.99550 F1: 0.32266 F2: 0.54277 Total predictions: 12000 True positives: 1991 False positives: 8350 False negatives: 9 True negatives: 1650 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.30325 Precision: 0.19196 Recall: 0.99100 F1: 0.32162 F2: 0.54079 Total predictions: 12000 True positives: 1982 False positives: 8343 False negatives: 18 True negatives: 1657 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.25229 Precision: 0.15397 Recall: 0.94200 F1: 0.26468 F2: 0.46551 Total predictions: 14000 True positives: 1884 False positives: 10352 False negatives: 116 True negatives: 1648 ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.28708 Precision: 0.17709 Recall: 0.99650 F1: 0.30074 F2: 0.51755 Total predictions: 13000 True positives: 1993 False positives: 9261 False negatives: 7 True negatives: 1739 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.26943 Precision: 0.16350 Recall: 0.99950 F1: 0.28103 F2: 0.49417 Total predictions: 14000 True positives: 1999 False positives: 10227 False negatives: 1 True negatives: 1773 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.31475 Precision: 0.19546 Recall: 0.99850 F1: 0.32692 F2: 0.54811 Total predictions: 12000 True positives: 1997 False positives: 8220 False negatives: 3 True negatives: 1780 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30750 Precision: 0.18694 Recall: 0.94200 F1: 0.31197 F2: 0.52108 Total predictions: 12000 True positives: 1884 False positives: 8194 False negatives: 116 True negatives: 1806 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.29331 Precision: 0.17815 Recall: 0.99450 F1: 0.30216 F2: 0.51891 Total predictions: 13000 True positives: 1989 False positives: 9176 False negatives: 11 True negatives: 1824 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.30350 Precision: 0.19190 Recall: 0.99000 F1: 0.32148 F2: 0.54045 Total predictions: 12000 True positives: 1980 False positives: 8338 False negatives: 20 True negatives: 1662 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.25421 Precision: 0.15448 Recall: 0.94350 F1: 0.26549 F2: 0.46673 Total predictions: 14000 True positives: 1887 False positives: 10328 False negatives: 113 True negatives: 1672 ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.28885 Precision: 0.17751 Recall: 0.99700 F1: 0.30137 F2: 0.51838 Total predictions: 13000 True positives: 1994 False positives: 9239 False negatives: 6 True negatives: 1761 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26321 Precision: 0.15717 Recall: 0.95300 F1: 0.26984 F2: 0.47349 Total predictions: 14000 True positives: 1906 False positives: 10221 False negatives: 94 True negatives: 1779 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.26279 Precision: 0.15698 Recall: 0.95200 F1: 0.26952 F2: 0.47295 Total predictions: 14000 True positives: 1904 False positives: 10225 False negatives: 96 True negatives: 1775 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.26321 Precision: 0.15666 Recall: 0.94850 F1: 0.26891 F2: 0.47168 Total predictions: 14000 True positives: 1897 False positives: 10212 False negatives: 103 True negatives: 1788 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.26229 Precision: 0.15638 Recall: 0.94750 F1: 0.26845 F2: 0.47097 Total predictions: 14000 True positives: 1895 False positives: 10223 False negatives: 105 True negatives: 1777 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.24360 Precision: 0.13820 Recall: 0.89250 F1: 0.23934 F2: 0.42671 Total predictions: 15000 True positives: 1785 False positives: 11131 False negatives: 215 True negatives: 1869 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.26329 Precision: 0.15667 Recall: 0.94850 F1: 0.26893 F2: 0.47170 Total predictions: 14000 True positives: 1897 False positives: 10211 False negatives: 103 True negatives: 1789 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.27250 Precision: 0.10619 Recall: 0.84600 F1: 0.18869 F2: 0.35347 Total predictions: 10000 True positives: 846 False positives: 7121 False negatives: 154 True negatives: 1879 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.29683 Precision: 0.18540 Recall: 0.94850 F1: 0.31017 F2: 0.52024 Total predictions: 12000 True positives: 1897 False positives: 8335 False negatives: 103 True negatives: 1665 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.29958 Precision: 0.18820 Recall: 0.96650 F1: 0.31505 F2: 0.52898 Total predictions: 12000 True positives: 1933 False positives: 8338 False negatives: 67 True negatives: 1662 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.24679 Precision: 0.14740 Recall: 0.89300 F1: 0.25303 F2: 0.44390 Total predictions: 14000 True positives: 1786 False positives: 10331 False negatives: 214 True negatives: 1669 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27985 Precision: 0.16850 Recall: 0.93550 F1: 0.28556 F2: 0.48969 Total predictions: 13000 True positives: 1871 False positives: 9233 False negatives: 129 True negatives: 1767 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.28500 Precision: 0.17361 Recall: 0.87500 F1: 0.28974 F2: 0.48396 Total predictions: 12000 True positives: 1750 False positives: 8330 False negatives: 250 True negatives: 1670 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28883 Precision: 0.17641 Recall: 0.89050 F1: 0.29448 F2: 0.49210 Total predictions: 12000 True positives: 1781 False positives: 8315 False negatives: 219 True negatives: 1685 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.24600 Precision: 0.14656 Recall: 0.88700 F1: 0.25156 F2: 0.44121 Total predictions: 14000 True positives: 1774 False positives: 10330 False negatives: 226 True negatives: 1670 ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27962 Precision: 0.16839 Recall: 0.93500 F1: 0.28539 F2: 0.48940 Total predictions: 13000 True positives: 1870 False positives: 9235 False negatives: 130 True negatives: 1765 ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.28192 Precision: 0.16909 Recall: 0.93700 F1: 0.28648 F2: 0.49101 Total predictions: 13000 True positives: 1874 False positives: 9209 False negatives: 126 True negatives: 1791 ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.24893 Precision: 0.14665 Recall: 0.88350 F1: 0.25155 F2: 0.44067 Total predictions: 14000 True positives: 1767 False positives: 10282 False negatives: 233 True negatives: 1718 ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26321 Precision: 0.15666 Recall: 0.94850 F1: 0.26891 F2: 0.47168 Total predictions: 14000 True positives: 1897 False positives: 10212 False negatives: 103 True negatives: 1788 ['poi', 'to_messages', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.24543 Precision: 0.14606 Recall: 0.88350 F1: 0.25067 F2: 0.43960 Total predictions: 14000 True positives: 1767 False positives: 10331 False negatives: 233 True negatives: 1669 ['poi', 'to_messages', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.26229 Precision: 0.15638 Recall: 0.94750 F1: 0.26845 F2: 0.47097 Total predictions: 14000 True positives: 1895 False positives: 10223 False negatives: 105 True negatives: 1777 ['poi', 'to_messages', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.24573 Precision: 0.13826 Recall: 0.89000 F1: 0.23934 F2: 0.42637 Total predictions: 15000 True positives: 1780 False positives: 11094 False negatives: 220 True negatives: 1906 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.76025 Precision: 0.07958 Recall: 0.04150 F1: 0.05455 F2: 0.04589 Total predictions: 12000 True positives: 83 False positives: 960 False negatives: 1917 True negatives: 9040 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.29190 Precision: 0.11134 Recall: 0.87100 F1: 0.19744 F2: 0.36835 Total predictions: 10000 True positives: 871 False positives: 6952 False negatives: 129 True negatives: 2048 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.18678 Precision: 0.10580 Recall: 0.84800 F1: 0.18813 F2: 0.35289 Total predictions: 9000 True positives: 848 False positives: 7167 False negatives: 152 True negatives: 833 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.77100 Precision: 0.27915 Recall: 0.16400 F1: 0.20661 F2: 0.17875 Total predictions: 11000 True positives: 328 False positives: 847 False negatives: 1672 True negatives: 8153 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.85264 Precision: 0.47249 Recall: 0.27050 F1: 0.34404 F2: 0.29579 Total predictions: 14000 True positives: 541 False positives: 604 False negatives: 1459 True negatives: 11396 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.77667 Precision: 0.17587 Recall: 0.27400 F1: 0.21423 F2: 0.24649 Total predictions: 9000 True positives: 274 False positives: 1284 False negatives: 726 True negatives: 6716 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.78942 Precision: 0.21636 Recall: 0.10050 F1: 0.13725 F2: 0.11255 Total predictions: 12000 True positives: 201 False positives: 728 False negatives: 1799 True negatives: 9272 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.78467 Precision: 0.25085 Recall: 0.14700 F1: 0.18537 F2: 0.16027 Total predictions: 12000 True positives: 294 False positives: 878 False negatives: 1706 True negatives: 9122 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.81857 Precision: 0.14380 Recall: 0.05450 F1: 0.07904 F2: 0.06223 Total predictions: 14000 True positives: 109 False positives: 649 False negatives: 1891 True negatives: 11351 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.82550 Precision: 0.45892 Recall: 0.26250 F1: 0.33397 F2: 0.28707 Total predictions: 12000 True positives: 525 False positives: 619 False negatives: 1475 True negatives: 9381 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.27046 Precision: 0.16074 Recall: 0.88650 F1: 0.27214 F2: 0.46584 Total predictions: 13000 True positives: 1773 False positives: 9257 False negatives: 227 True negatives: 1743 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.18442 Precision: 0.15529 Recall: 0.87700 F1: 0.26386 F2: 0.45452 Total predictions: 12000 True positives: 1754 False positives: 9541 False negatives: 246 True negatives: 459 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.78850 Precision: 0.18052 Recall: 0.07600 F1: 0.10697 F2: 0.08595 Total predictions: 12000 True positives: 152 False positives: 690 False negatives: 1848 True negatives: 9310 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.83600 Precision: 0.35259 Recall: 0.17700 F1: 0.23569 F2: 0.19658 Total predictions: 14000 True positives: 354 False positives: 650 False negatives: 1646 True negatives: 11350 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.77892 Precision: 0.00304 Recall: 0.00100 F1: 0.00151 F2: 0.00116 Total predictions: 12000 True positives: 2 False positives: 655 False negatives: 1998 True negatives: 9345 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.77742 Precision: 0.00149 Recall: 0.00050 F1: 0.00075 F2: 0.00058 Total predictions: 12000 True positives: 1 False positives: 672 False negatives: 1999 True negatives: 9328 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.79608 Precision: 0.12543 Recall: 0.05450 F1: 0.07598 F2: 0.06145 Total predictions: 13000 True positives: 109 False positives: 760 False negatives: 1891 True negatives: 10240 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.79958 Precision: 0.15146 Recall: 0.04400 F1: 0.06819 F2: 0.05128 Total predictions: 12000 True positives: 88 False positives: 493 False negatives: 1912 True negatives: 9507 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.81507 Precision: 0.04762 Recall: 0.01550 F1: 0.02339 F2: 0.01792 Total predictions: 14000 True positives: 31 False positives: 620 False negatives: 1969 True negatives: 11380 ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.83571 Precision: 0.35207 Recall: 0.17850 F1: 0.23689 F2: 0.19803 Total predictions: 14000 True positives: 357 False positives: 657 False negatives: 1643 True negatives: 11343 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.26630 Precision: 0.11355 Recall: 0.93100 F1: 0.20241 F2: 0.38159 Total predictions: 10000 True positives: 931 False positives: 7268 False negatives: 69 True negatives: 1732 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.29492 Precision: 0.18869 Recall: 0.97900 F1: 0.31639 F2: 0.53273 Total predictions: 12000 True positives: 1958 False positives: 8419 False negatives: 42 True negatives: 1581 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.24533 Precision: 0.14471 Recall: 0.94900 F1: 0.25112 F2: 0.44942 Total predictions: 15000 True positives: 1898 False positives: 11218 False negatives: 102 True negatives: 1782 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.26640 Precision: 0.11338 Recall: 0.92900 F1: 0.20209 F2: 0.38093 Total predictions: 10000 True positives: 929 False positives: 7265 False negatives: 71 True negatives: 1735 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.26400 Precision: 0.10750 Recall: 0.87100 F1: 0.19139 F2: 0.35986 Total predictions: 10000 True positives: 871 False positives: 7231 False negatives: 129 True negatives: 1769 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.25564 Precision: 0.15400 Recall: 0.93700 F1: 0.26452 F2: 0.46457 Total predictions: 14000 True positives: 1874 False positives: 10295 False negatives: 126 True negatives: 1705 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.26992 Precision: 0.16644 Recall: 0.93450 F1: 0.28256 F2: 0.48598 Total predictions: 13000 True positives: 1869 False positives: 9360 False negatives: 131 True negatives: 1640 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.42021 Precision: 0.15137 Recall: 0.66400 F1: 0.24654 F2: 0.39587 Total predictions: 14000 True positives: 1328 False positives: 7445 False negatives: 672 True negatives: 4555 ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27400 Precision: 0.16729 Recall: 0.93500 F1: 0.28381 F2: 0.48754 Total predictions: 13000 True positives: 1870 False positives: 9308 False negatives: 130 True negatives: 1692 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.21891 Precision: 0.18746 Recall: 0.98850 F1: 0.31516 F2: 0.53300 Total predictions: 11000 True positives: 1977 False positives: 8569 False negatives: 23 True negatives: 431 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19071 Precision: 0.14313 Recall: 0.93550 F1: 0.24827 F2: 0.44395 Total predictions: 14000 True positives: 1871 False positives: 11201 False negatives: 129 True negatives: 799 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.15167 Precision: 0.10818 Recall: 0.91600 F1: 0.19351 F2: 0.36737 Total predictions: 9000 True positives: 916 False positives: 7551 False negatives: 84 True negatives: 449 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.14567 Precision: 0.10113 Recall: 0.84800 F1: 0.18071 F2: 0.34235 Total predictions: 9000 True positives: 848 False positives: 7537 False negatives: 152 True negatives: 463 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19067 Precision: 0.16246 Recall: 0.92800 F1: 0.27652 F2: 0.47776 Total predictions: 12000 True positives: 1856 False positives: 9568 False negatives: 144 True negatives: 432 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.19342 Precision: 0.16400 Recall: 0.93700 F1: 0.27914 F2: 0.48232 Total predictions: 12000 True positives: 1874 False positives: 9553 False negatives: 126 True negatives: 447 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.21536 Precision: 0.13425 Recall: 0.82450 F1: 0.23090 F2: 0.40650 Total predictions: 14000 True positives: 1649 False positives: 10634 False negatives: 351 True negatives: 1366 ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20423 Precision: 0.15497 Recall: 0.93700 F1: 0.26595 F2: 0.46633 Total predictions: 13000 True positives: 1874 False positives: 10219 False negatives: 126 True negatives: 781 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.82921 Precision: 0.35508 Recall: 0.23950 F1: 0.28606 F2: 0.25618 Total predictions: 14000 True positives: 479 False positives: 870 False negatives: 1521 True negatives: 11130 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79791 Precision: 0.38949 Recall: 0.19650 F1: 0.26122 F2: 0.21812 Total predictions: 11000 True positives: 393 False positives: 616 False negatives: 1607 True negatives: 8384 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78736 Precision: 0.30540 Recall: 0.13300 F1: 0.18530 F2: 0.14993 Total predictions: 11000 True positives: 266 False positives: 605 False negatives: 1734 True negatives: 8395 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.78833 Precision: 0.25229 Recall: 0.13750 F1: 0.17799 F2: 0.15127 Total predictions: 12000 True positives: 275 False positives: 815 False negatives: 1725 True negatives: 9185 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.80492 Precision: 0.33333 Recall: 0.17050 F1: 0.22560 F2: 0.18896 Total predictions: 12000 True positives: 341 False positives: 682 False negatives: 1659 True negatives: 9318 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.81293 Precision: 0.16395 Recall: 0.07550 F1: 0.10339 F2: 0.08463 Total predictions: 14000 True positives: 151 False positives: 770 False negatives: 1849 True negatives: 11230 ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.81731 Precision: 0.35676 Recall: 0.23350 F1: 0.28226 F2: 0.25083 Total predictions: 13000 True positives: 467 False positives: 842 False negatives: 1533 True negatives: 10158 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83971 Precision: 0.39696 Recall: 0.23500 F1: 0.29523 F2: 0.25588 Total predictions: 14000 True positives: 470 False positives: 714 False negatives: 1530 True negatives: 11286 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83836 Precision: 0.39014 Recall: 0.23350 F1: 0.29215 F2: 0.25389 Total predictions: 14000 True positives: 467 False positives: 730 False negatives: 1533 True negatives: 11270 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84114 Precision: 0.40805 Recall: 0.24850 F1: 0.30889 F2: 0.26958 Total predictions: 14000 True positives: 497 False positives: 721 False negatives: 1503 True negatives: 11279 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.83250 Precision: 0.36055 Recall: 0.22300 F1: 0.27556 F2: 0.24142 Total predictions: 14000 True positives: 446 False positives: 791 False negatives: 1554 True negatives: 11209 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.83840 Precision: 0.31004 Recall: 0.17300 F1: 0.22208 F2: 0.18978 Total predictions: 15000 True positives: 346 False positives: 770 False negatives: 1654 True negatives: 12230 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84207 Precision: 0.41989 Recall: 0.27650 F1: 0.33343 F2: 0.29677 Total predictions: 14000 True positives: 553 False positives: 764 False negatives: 1447 True negatives: 11236 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Got a divide by zero when trying out: GaussianNB() Precision or recall may be undefined due to a lack of true positive predicitons. ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78708 Precision: 0.16925 Recall: 0.07100 F1: 0.10004 F2: 0.08033 Total predictions: 12000 True positives: 142 False positives: 697 False negatives: 1858 True negatives: 9303 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79683 Precision: 0.25448 Recall: 0.11350 F1: 0.15698 F2: 0.12764 Total predictions: 12000 True positives: 227 False positives: 665 False negatives: 1773 True negatives: 9335 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82529 Precision: 0.14715 Recall: 0.04650 F1: 0.07067 F2: 0.05387 Total predictions: 14000 True positives: 93 False positives: 539 False negatives: 1907 True negatives: 11461 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82508 Precision: 0.45528 Recall: 0.25200 F1: 0.32443 F2: 0.27671 Total predictions: 12000 True positives: 504 False positives: 603 False negatives: 1496 True negatives: 9397 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78258 Precision: 0.15040 Recall: 0.06550 F1: 0.09126 F2: 0.07384 Total predictions: 12000 True positives: 131 False positives: 740 False negatives: 1869 True negatives: 9260 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78467 Precision: 0.21484 Recall: 0.11000 F1: 0.14550 F2: 0.12190 Total predictions: 12000 True positives: 220 False positives: 804 False negatives: 1780 True negatives: 9196 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82500 Precision: 0.13474 Recall: 0.04150 F1: 0.06346 F2: 0.04817 Total predictions: 14000 True positives: 83 False positives: 533 False negatives: 1917 True negatives: 11467 ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82592 Precision: 0.45914 Recall: 0.25000 F1: 0.32373 F2: 0.27506 Total predictions: 12000 True positives: 500 False positives: 589 False negatives: 1500 True negatives: 9411 ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.80415 Precision: 0.23077 Recall: 0.11700 F1: 0.15528 F2: 0.12980 Total predictions: 13000 True positives: 234 False positives: 780 False negatives: 1766 True negatives: 10220 ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81564 Precision: 0.16103 Recall: 0.06900 F1: 0.09660 F2: 0.07790 Total predictions: 14000 True positives: 138 False positives: 719 False negatives: 1862 True negatives: 11281 ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83543 Precision: 0.38326 Recall: 0.24950 F1: 0.30224 F2: 0.26822 Total predictions: 14000 True positives: 499 False positives: 803 False negatives: 1501 True negatives: 11197 ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82257 Precision: 0.15625 Recall: 0.05500 F1: 0.08136 F2: 0.06319 Total predictions: 14000 True positives: 110 False positives: 594 False negatives: 1890 True negatives: 11406 ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83223 Precision: 0.41438 Recall: 0.21900 F1: 0.28656 F2: 0.24180 Total predictions: 13000 True positives: 438 False positives: 619 False negatives: 1562 True negatives: 10381 ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84680 Precision: 0.35070 Recall: 0.17500 F1: 0.23349 F2: 0.19449 Total predictions: 15000 True positives: 350 False positives: 648 False negatives: 1650 True negatives: 12352 ['poi', 'to_messages', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'director_fees'] Accuracy: 0.29500 Precision: 0.15839 Recall: 0.83050 F1: 0.26604 F2: 0.44923 Total predictions: 13000 True positives: 1661 False positives: 8826 False negatives: 339 True negatives: 2174 ['poi', 'to_messages', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.21508 Precision: 0.15877 Recall: 0.86300 F1: 0.26820 F2: 0.45732 Total predictions: 12000 True positives: 1726 False positives: 9145 False negatives: 274 True negatives: 855 ['poi', 'to_messages', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'bonus'] Accuracy: 0.78333 Precision: 0.16443 Recall: 0.07350 F1: 0.10159 F2: 0.08264 Total predictions: 12000 True positives: 147 False positives: 747 False negatives: 1853 True negatives: 9253 ['poi', 'to_messages', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.84157 Precision: 0.38855 Recall: 0.19000 F1: 0.25520 F2: 0.21163 Total predictions: 14000 True positives: 380 False positives: 598 False negatives: 1620 True negatives: 11402 ['poi', 'to_messages', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.75708 Precision: 0.09115 Recall: 0.05100 F1: 0.06541 F2: 0.05593 Total predictions: 12000 True positives: 102 False positives: 1017 False negatives: 1898 True negatives: 8983 ['poi', 'to_messages', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.73583 Precision: 0.06985 Recall: 0.04750 F1: 0.05655 F2: 0.05075 Total predictions: 12000 True positives: 95 False positives: 1265 False negatives: 1905 True negatives: 8735 ['poi', 'to_messages', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.79854 Precision: 0.15649 Recall: 0.07050 F1: 0.09721 F2: 0.07920 Total predictions: 13000 True positives: 141 False positives: 760 False negatives: 1859 True negatives: 10240 ['poi', 'to_messages', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'salary'] Accuracy: 0.78725 Precision: 0.16965 Recall: 0.07100 F1: 0.10011 F2: 0.08034 Total predictions: 12000 True positives: 142 False positives: 695 False negatives: 1858 True negatives: 9305 ['poi', 'to_messages', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'total_payments'] Accuracy: 0.81100 Precision: 0.05510 Recall: 0.02000 F1: 0.02935 F2: 0.02292 Total predictions: 14000 True positives: 40 False positives: 686 False negatives: 1960 True negatives: 11314 ['poi', 'to_messages', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.83457 Precision: 0.35740 Recall: 0.19800 F1: 0.25483 F2: 0.21739 Total predictions: 14000 True positives: 396 False positives: 712 False negatives: 1604 True negatives: 11288 ['poi', 'to_messages', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.29100 Precision: 0.11813 Recall: 0.94200 F1: 0.20994 F2: 0.39335 Total predictions: 10000 True positives: 942 False positives: 7032 False negatives: 58 True negatives: 1968 ['poi', 'to_messages', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31800 Precision: 0.18768 Recall: 0.92900 F1: 0.31227 F2: 0.51899 Total predictions: 12000 True positives: 1858 False positives: 8042 False negatives: 142 True negatives: 1958 ['poi', 'to_messages', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.28100 Precision: 0.14453 Recall: 0.89300 F1: 0.24880 F2: 0.43867 Total predictions: 15000 True positives: 1786 False positives: 10571 False negatives: 214 True negatives: 2429 ['poi', 'to_messages', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29290 Precision: 0.11287 Recall: 0.88500 F1: 0.20020 F2: 0.37370 Total predictions: 10000 True positives: 885 False positives: 6956 False negatives: 115 True negatives: 2044 ['poi', 'to_messages', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28410 Precision: 0.11083 Recall: 0.87700 F1: 0.19679 F2: 0.36809 Total predictions: 10000 True positives: 877 False positives: 7036 False negatives: 123 True negatives: 1964 ['poi', 'to_messages', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.27564 Precision: 0.14991 Recall: 0.87150 F1: 0.25582 F2: 0.44403 Total predictions: 14000 True positives: 1743 False positives: 9884 False negatives: 257 True negatives: 2116 ['poi', 'to_messages', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29169 Precision: 0.16437 Recall: 0.88250 F1: 0.27712 F2: 0.47097 Total predictions: 13000 True positives: 1765 False positives: 8973 False negatives: 235 True negatives: 2027 ['poi', 'to_messages', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.28679 Precision: 0.14845 Recall: 0.84300 F1: 0.25245 F2: 0.43550 Total predictions: 14000 True positives: 1686 False positives: 9671 False negatives: 314 True negatives: 2329 ['poi', 'to_messages', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30446 Precision: 0.16613 Recall: 0.87600 F1: 0.27929 F2: 0.47234 Total predictions: 13000 True positives: 1752 False positives: 8794 False negatives: 248 True negatives: 2206 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.24627 Precision: 0.18611 Recall: 0.93250 F1: 0.31029 F2: 0.51745 Total predictions: 11000 True positives: 1865 False positives: 8156 False negatives: 135 True negatives: 844 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.18893 Precision: 0.13944 Recall: 0.90450 F1: 0.24163 F2: 0.43127 Total predictions: 14000 True positives: 1809 False positives: 11164 False negatives: 191 True negatives: 836 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.18856 Precision: 0.10739 Recall: 0.86200 F1: 0.19098 F2: 0.35836 Total predictions: 9000 True positives: 862 False positives: 7165 False negatives: 138 True negatives: 835 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.17711 Precision: 0.10525 Recall: 0.85400 F1: 0.18740 F2: 0.35248 Total predictions: 9000 True positives: 854 False positives: 7260 False negatives: 146 True negatives: 740 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21842 Precision: 0.16377 Recall: 0.89850 F1: 0.27704 F2: 0.47357 Total predictions: 12000 True positives: 1797 False positives: 9176 False negatives: 203 True negatives: 824 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.22308 Precision: 0.16747 Recall: 0.92200 F1: 0.28345 F2: 0.48498 Total predictions: 12000 True positives: 1844 False positives: 9167 False negatives: 156 True negatives: 833 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.21979 Precision: 0.13228 Recall: 0.80250 F1: 0.22713 F2: 0.39860 Total predictions: 14000 True positives: 1605 False positives: 10528 False negatives: 395 True negatives: 1472 ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20485 Precision: 0.14903 Recall: 0.88500 F1: 0.25510 F2: 0.44524 Total predictions: 13000 True positives: 1770 False positives: 10107 False negatives: 230 True negatives: 893 ['poi', 'to_messages', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.84136 Precision: 0.41124 Recall: 0.25600 F1: 0.31556 F2: 0.27691 Total predictions: 14000 True positives: 512 False positives: 733 False negatives: 1488 True negatives: 11267 ['poi', 'to_messages', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.77164 Precision: 0.28268 Recall: 0.16650 F1: 0.20957 F2: 0.18141 Total predictions: 11000 True positives: 333 False positives: 845 False negatives: 1667 True negatives: 8155 ['poi', 'to_messages', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.74664 Precision: 0.23854 Recall: 0.17950 F1: 0.20485 F2: 0.18885 Total predictions: 11000 True positives: 359 False positives: 1146 False negatives: 1641 True negatives: 7854 ['poi', 'to_messages', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.79467 Precision: 0.25579 Recall: 0.12150 F1: 0.16475 F2: 0.13575 Total predictions: 12000 True positives: 243 False positives: 707 False negatives: 1757 True negatives: 9293 ['poi', 'to_messages', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'salary'] Accuracy: 0.79458 Precision: 0.26396 Recall: 0.13000 F1: 0.17420 F2: 0.14469 Total predictions: 12000 True positives: 260 False positives: 725 False negatives: 1740 True negatives: 9275 ['poi', 'to_messages', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.82400 Precision: 0.18219 Recall: 0.06650 F1: 0.09744 F2: 0.07617 Total predictions: 14000 True positives: 133 False positives: 597 False negatives: 1867 True negatives: 11403 ['poi', 'to_messages', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.83092 Precision: 0.41990 Recall: 0.25950 F1: 0.32077 F2: 0.28097 Total predictions: 13000 True positives: 519 False positives: 717 False negatives: 1481 True negatives: 10283 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86014 Precision: 0.51974 Recall: 0.27650 F1: 0.36097 F2: 0.30505 Total predictions: 14000 True positives: 553 False positives: 511 False negatives: 1447 True negatives: 11489 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86193 Precision: 0.53224 Recall: 0.27650 F1: 0.36394 F2: 0.30590 Total predictions: 14000 True positives: 553 False positives: 486 False negatives: 1447 True negatives: 11514 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85886 Precision: 0.51165 Recall: 0.26350 F1: 0.34785 F2: 0.29181 Total predictions: 14000 True positives: 527 False positives: 503 False negatives: 1473 True negatives: 11497 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.84814 Precision: 0.44531 Recall: 0.25650 F1: 0.32551 F2: 0.28027 Total predictions: 14000 True positives: 513 False positives: 639 False negatives: 1487 True negatives: 11361 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.85053 Precision: 0.37370 Recall: 0.17900 F1: 0.24206 F2: 0.19982 Total predictions: 15000 True positives: 358 False positives: 600 False negatives: 1642 True negatives: 12400 ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84193 Precision: 0.41950 Recall: 0.27750 F1: 0.33404 F2: 0.29765 Total predictions: 14000 True positives: 555 False positives: 768 False negatives: 1445 True negatives: 11232 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.82067 Precision: 0.00643 Recall: 0.00400 F1: 0.00493 F2: 0.00433 Total predictions: 9000 True positives: 4 False positives: 618 False negatives: 996 True negatives: 7382 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.79492 Precision: 0.23229 Recall: 0.10000 F1: 0.13981 F2: 0.11285 Total predictions: 12000 True positives: 200 False positives: 661 False negatives: 1800 True negatives: 9339 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.77567 Precision: 0.23668 Recall: 0.15550 F1: 0.18769 F2: 0.16695 Total predictions: 12000 True positives: 311 False positives: 1003 False negatives: 1689 True negatives: 8997 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82914 Precision: 0.16892 Recall: 0.05000 F1: 0.07716 F2: 0.05819 Total predictions: 14000 True positives: 100 False positives: 492 False negatives: 1900 True negatives: 11508 ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84042 Precision: 0.53832 Recall: 0.29850 F1: 0.38405 F2: 0.32770 Total predictions: 12000 True positives: 597 False positives: 512 False negatives: 1403 True negatives: 9488 ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77183 Precision: 0.18515 Recall: 0.10850 F1: 0.13682 F2: 0.11829 Total predictions: 12000 True positives: 217 False positives: 955 False negatives: 1783 True negatives: 9045 ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.75142 Precision: 0.19300 Recall: 0.15450 F1: 0.17162 F2: 0.16092 Total predictions: 12000 True positives: 309 False positives: 1292 False negatives: 1691 True negatives: 8708 ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82864 Precision: 0.16583 Recall: 0.04950 F1: 0.07624 F2: 0.05758 Total predictions: 14000 True positives: 99 False positives: 498 False negatives: 1901 True negatives: 11502 ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84067 Precision: 0.54015 Recall: 0.29600 F1: 0.38243 F2: 0.32542 Total predictions: 12000 True positives: 592 False positives: 504 False negatives: 1408 True negatives: 9496 ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.81446 Precision: 0.28631 Recall: 0.13800 F1: 0.18623 F2: 0.15395 Total predictions: 13000 True positives: 276 False positives: 688 False negatives: 1724 True negatives: 10312 ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.83079 Precision: 0.21395 Recall: 0.06900 F1: 0.10435 F2: 0.07981 Total predictions: 14000 True positives: 138 False positives: 507 False negatives: 1862 True negatives: 11493 ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84350 Precision: 0.42329 Recall: 0.26350 F1: 0.32481 F2: 0.28502 Total predictions: 14000 True positives: 527 False positives: 718 False negatives: 1473 True negatives: 11282 ['poi', 'to_messages', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.82971 Precision: 0.18317 Recall: 0.05550 F1: 0.08519 F2: 0.06449 Total predictions: 14000 True positives: 111 False positives: 495 False negatives: 1889 True negatives: 11505 ['poi', 'to_messages', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.84046 Precision: 0.46642 Recall: 0.25700 F1: 0.33140 F2: 0.28236 Total predictions: 13000 True positives: 514 False positives: 588 False negatives: 1486 True negatives: 10412 ['poi', 'to_messages', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85413 Precision: 0.39693 Recall: 0.18100 F1: 0.24863 F2: 0.20310 Total predictions: 15000 True positives: 362 False positives: 550 False negatives: 1638 True negatives: 12450 ['poi', 'to_messages', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.27462 Precision: 0.16813 Recall: 0.94100 F1: 0.28528 F2: 0.49026 Total predictions: 13000 True positives: 1882 False positives: 9312 False negatives: 118 True negatives: 1688 ['poi', 'to_messages', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'bonus'] Accuracy: 0.27762 Precision: 0.16871 Recall: 0.94100 F1: 0.28613 F2: 0.49126 Total predictions: 13000 True positives: 1882 False positives: 9273 False negatives: 118 True negatives: 1727 ['poi', 'to_messages', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.26867 Precision: 0.13964 Recall: 0.86900 F1: 0.24062 F2: 0.42502 Total predictions: 15000 True positives: 1738 False positives: 10708 False negatives: 262 True negatives: 2292 ['poi', 'to_messages', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.26946 Precision: 0.16068 Recall: 0.88750 F1: 0.27209 F2: 0.46595 Total predictions: 13000 True positives: 1775 False positives: 9272 False negatives: 225 True negatives: 1728 ['poi', 'to_messages', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.26462 Precision: 0.15264 Recall: 0.83050 F1: 0.25788 F2: 0.43984 Total predictions: 13000 True positives: 1661 False positives: 9221 False negatives: 339 True negatives: 1779 ['poi', 'to_messages', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.24986 Precision: 0.14687 Recall: 0.88400 F1: 0.25189 F2: 0.44116 Total predictions: 14000 True positives: 1768 False positives: 10270 False negatives: 232 True negatives: 1730 ['poi', 'to_messages', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'salary'] Accuracy: 0.26685 Precision: 0.15920 Recall: 0.87950 F1: 0.26960 F2: 0.46170 Total predictions: 13000 True positives: 1759 False positives: 9290 False negatives: 241 True negatives: 1710 ['poi', 'to_messages', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'total_payments'] Accuracy: 0.69514 Precision: 0.14046 Recall: 0.22150 F1: 0.17191 F2: 0.19858 Total predictions: 14000 True positives: 443 False positives: 2711 False negatives: 1557 True negatives: 9289 ['poi', 'to_messages', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25540 Precision: 0.13882 Recall: 0.88100 F1: 0.23984 F2: 0.42575 Total predictions: 15000 True positives: 1762 False positives: 10931 False negatives: 238 True negatives: 2069 ['poi', 'to_messages', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.19383 Precision: 0.16401 Recall: 0.93650 F1: 0.27914 F2: 0.48223 Total predictions: 12000 True positives: 1873 False positives: 9547 False negatives: 127 True negatives: 453 ['poi', 'to_messages', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21936 Precision: 0.13600 Recall: 0.83400 F1: 0.23386 F2: 0.41155 Total predictions: 14000 True positives: 1668 False positives: 10597 False negatives: 332 True negatives: 1403 ['poi', 'to_messages', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.18775 Precision: 0.15833 Recall: 0.89750 F1: 0.26918 F2: 0.46414 Total predictions: 12000 True positives: 1795 False positives: 9542 False negatives: 205 True negatives: 458 ['poi', 'to_messages', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.17942 Precision: 0.14959 Recall: 0.83750 F1: 0.25385 F2: 0.43627 Total predictions: 12000 True positives: 1675 False positives: 9522 False negatives: 325 True negatives: 478 ['poi', 'to_messages', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17277 Precision: 0.14432 Recall: 0.88800 F1: 0.24829 F2: 0.43731 Total predictions: 13000 True positives: 1776 False positives: 10530 False negatives: 224 True negatives: 470 ['poi', 'to_messages', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.18883 Precision: 0.15614 Recall: 0.87800 F1: 0.26514 F2: 0.45620 Total predictions: 12000 True positives: 1756 False positives: 9490 False negatives: 244 True negatives: 510 ['poi', 'to_messages', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22429 Precision: 0.13267 Recall: 0.80000 F1: 0.22760 F2: 0.39880 Total predictions: 14000 True positives: 1600 False positives: 10460 False negatives: 400 True negatives: 1540 ['poi', 'to_messages', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20293 Precision: 0.13617 Recall: 0.85700 F1: 0.23500 F2: 0.41628 Total predictions: 14000 True positives: 1714 False positives: 10873 False negatives: 286 True negatives: 1127 ['poi', 'to_messages', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.83314 Precision: 0.34615 Recall: 0.18900 F1: 0.24450 F2: 0.20788 Total predictions: 14000 True positives: 378 False positives: 714 False negatives: 1622 True negatives: 11286 ['poi', 'to_messages', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79883 Precision: 0.21170 Recall: 0.07600 F1: 0.11185 F2: 0.08718 Total predictions: 12000 True positives: 152 False positives: 566 False negatives: 1848 True negatives: 9434 ['poi', 'to_messages', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78975 Precision: 0.16688 Recall: 0.06550 F1: 0.09408 F2: 0.07456 Total predictions: 12000 True positives: 131 False positives: 654 False negatives: 1869 True negatives: 9346 ['poi', 'to_messages', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.80031 Precision: 0.15904 Recall: 0.06950 F1: 0.09673 F2: 0.07832 Total predictions: 13000 True positives: 139 False positives: 735 False negatives: 1861 True negatives: 10265 ['poi', 'to_messages', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'salary'] Accuracy: 0.79967 Precision: 0.18536 Recall: 0.05950 F1: 0.09008 F2: 0.06885 Total predictions: 12000 True positives: 119 False positives: 523 False negatives: 1881 True negatives: 9477 ['poi', 'to_messages', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'total_payments'] Accuracy: 0.82214 Precision: 0.17763 Recall: 0.06750 F1: 0.09783 F2: 0.07705 Total predictions: 14000 True positives: 135 False positives: 625 False negatives: 1865 True negatives: 11375 ['poi', 'to_messages', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83714 Precision: 0.36193 Recall: 0.18350 F1: 0.24353 F2: 0.20357 Total predictions: 14000 True positives: 367 False positives: 647 False negatives: 1633 True negatives: 11353 ['poi', 'to_messages', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84307 Precision: 0.39188 Recall: 0.17850 F1: 0.24528 F2: 0.20031 Total predictions: 14000 True positives: 357 False positives: 554 False negatives: 1643 True negatives: 11446 ['poi', 'to_messages', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84364 Precision: 0.39512 Recall: 0.17800 F1: 0.24543 F2: 0.19998 Total predictions: 14000 True positives: 356 False positives: 545 False negatives: 1644 True negatives: 11455 ['poi', 'to_messages', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84657 Precision: 0.41553 Recall: 0.18200 F1: 0.25313 F2: 0.20505 Total predictions: 14000 True positives: 364 False positives: 512 False negatives: 1636 True negatives: 11488 ['poi', 'to_messages', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84157 Precision: 0.38280 Recall: 0.17800 F1: 0.24300 F2: 0.19933 Total predictions: 14000 True positives: 356 False positives: 574 False negatives: 1644 True negatives: 11426 ['poi', 'to_messages', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.83893 Precision: 0.31159 Recall: 0.17200 F1: 0.22165 F2: 0.18893 Total predictions: 15000 True positives: 344 False positives: 760 False negatives: 1656 True negatives: 12240 ['poi', 'to_messages', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84843 Precision: 0.44135 Recall: 0.22950 F1: 0.30197 F2: 0.25387 Total predictions: 14000 True positives: 459 False positives: 581 False negatives: 1541 True negatives: 11419 ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78408 Precision: 0.00336 Recall: 0.00100 F1: 0.00154 F2: 0.00116 Total predictions: 12000 True positives: 2 False positives: 593 False negatives: 1998 True negatives: 9407 ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80638 Precision: 0.15115 Recall: 0.05600 F1: 0.08172 F2: 0.06407 Total predictions: 13000 True positives: 112 False positives: 629 False negatives: 1888 True negatives: 10371 ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80308 Precision: 0.16327 Recall: 0.04400 F1: 0.06932 F2: 0.05153 Total predictions: 12000 True positives: 88 False positives: 451 False negatives: 1912 True negatives: 9549 ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82121 Precision: 0.02991 Recall: 0.00800 F1: 0.01262 F2: 0.00937 Total predictions: 14000 True positives: 16 False positives: 519 False negatives: 1984 True negatives: 11481 ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84143 Precision: 0.38248 Recall: 0.17900 F1: 0.24387 F2: 0.20031 Total predictions: 14000 True positives: 358 False positives: 578 False negatives: 1642 True negatives: 11422 ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79554 Precision: 0.12184 Recall: 0.05300 F1: 0.07387 F2: 0.05975 Total predictions: 13000 True positives: 106 False positives: 764 False negatives: 1894 True negatives: 10236 ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79708 Precision: 0.14519 Recall: 0.04450 F1: 0.06812 F2: 0.05167 Total predictions: 12000 True positives: 89 False positives: 524 False negatives: 1911 True negatives: 9476 ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82136 Precision: 0.02825 Recall: 0.00750 F1: 0.01185 F2: 0.00879 Total predictions: 14000 True positives: 15 False positives: 516 False negatives: 1985 True negatives: 11484 ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84300 Precision: 0.39168 Recall: 0.17900 F1: 0.24571 F2: 0.20081 Total predictions: 14000 True positives: 358 False positives: 556 False negatives: 1642 True negatives: 11444 ['poi', 'to_messages', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'other', 'restricted_stock', 'salary'] Accuracy: 0.81208 Precision: 0.16792 Recall: 0.05600 F1: 0.08399 F2: 0.06461 Total predictions: 13000 True positives: 112 False positives: 555 False negatives: 1888 True negatives: 10445 ['poi', 'to_messages', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.82164 Precision: 0.17601 Recall: 0.06750 F1: 0.09758 F2: 0.07699 Total predictions: 14000 True positives: 135 False positives: 632 False negatives: 1865 True negatives: 11368 ['poi', 'to_messages', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84136 Precision: 0.38643 Recall: 0.18800 F1: 0.25294 F2: 0.20952 Total predictions: 14000 True positives: 376 False positives: 597 False negatives: 1624 True negatives: 11403 ['poi', 'to_messages', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'other', 'salary', 'total_payments'] Accuracy: 0.82979 Precision: 0.17597 Recall: 0.05200 F1: 0.08028 F2: 0.06053 Total predictions: 14000 True positives: 104 False positives: 487 False negatives: 1896 True negatives: 11513 ['poi', 'to_messages', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.84093 Precision: 0.38015 Recall: 0.18000 F1: 0.24432 F2: 0.20118 Total predictions: 14000 True positives: 360 False positives: 587 False negatives: 1640 True negatives: 11413 ['poi', 'to_messages', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84487 Precision: 0.33666 Recall: 0.16850 F1: 0.22459 F2: 0.18720 Total predictions: 15000 True positives: 337 False positives: 664 False negatives: 1663 True negatives: 12336 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.29667 Precision: 0.19157 Recall: 1.00000 F1: 0.32154 F2: 0.54230 Total predictions: 12000 True positives: 2000 False positives: 8440 False negatives: 0 True negatives: 1560 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.24947 Precision: 0.15022 Recall: 0.99400 F1: 0.26100 F2: 0.46812 Total predictions: 15000 True positives: 1988 False positives: 11246 False negatives: 12 True negatives: 1754 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.27320 Precision: 0.12095 Recall: 1.00000 F1: 0.21580 F2: 0.40756 Total predictions: 10000 True positives: 1000 False positives: 7268 False negatives: 0 True negatives: 1732 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.26780 Precision: 0.11479 Recall: 0.94200 F1: 0.20465 F2: 0.38588 Total predictions: 10000 True positives: 942 False positives: 7264 False negatives: 58 True negatives: 1736 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.26179 Precision: 0.16165 Recall: 0.99550 F1: 0.27813 F2: 0.48998 Total predictions: 14000 True positives: 1991 False positives: 10326 False negatives: 9 True negatives: 1674 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.27769 Precision: 0.17456 Recall: 0.99100 F1: 0.29684 F2: 0.51204 Total predictions: 13000 True positives: 1982 False positives: 9372 False negatives: 18 True negatives: 1628 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.25607 Precision: 0.15476 Recall: 0.94300 F1: 0.26588 F2: 0.46713 Total predictions: 14000 True positives: 1886 False positives: 10301 False negatives: 114 True negatives: 1699 ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.27823 Precision: 0.17444 Recall: 0.98900 F1: 0.29657 F2: 0.51140 Total predictions: 13000 True positives: 1978 False positives: 9361 False negatives: 22 True negatives: 1639 ['poi', 'to_messages', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.25187 Precision: 0.15063 Recall: 0.99400 F1: 0.26161 F2: 0.46891 Total predictions: 15000 True positives: 1988 False positives: 11210 False negatives: 12 True negatives: 1790 ['poi', 'to_messages', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.29783 Precision: 0.19147 Recall: 0.99700 F1: 0.32125 F2: 0.54144 Total predictions: 12000 True positives: 1994 False positives: 8420 False negatives: 6 True negatives: 1580 ['poi', 'to_messages', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.28850 Precision: 0.18169 Recall: 0.93300 F1: 0.30416 F2: 0.51067 Total predictions: 12000 True positives: 1866 False positives: 8404 False negatives: 134 True negatives: 1596 ['poi', 'to_messages', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.26407 Precision: 0.16190 Recall: 0.99400 F1: 0.27845 F2: 0.49016 Total predictions: 14000 True positives: 1988 False positives: 10291 False negatives: 12 True negatives: 1709 ['poi', 'to_messages', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'salary'] Accuracy: 0.27931 Precision: 0.17454 Recall: 0.98800 F1: 0.29667 F2: 0.51136 Total predictions: 13000 True positives: 1976 False positives: 9345 False negatives: 24 True negatives: 1655 ['poi', 'to_messages', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.65500 Precision: 0.21723 Recall: 0.54350 F1: 0.31039 F2: 0.41795 Total predictions: 14000 True positives: 1087 False positives: 3917 False negatives: 913 True negatives: 8083 ['poi', 'to_messages', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.25979 Precision: 0.16144 Recall: 0.99700 F1: 0.27789 F2: 0.48990 Total predictions: 14000 True positives: 1994 False positives: 10357 False negatives: 6 True negatives: 1643 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24600 Precision: 0.14476 Recall: 0.94850 F1: 0.25119 F2: 0.44944 Total predictions: 15000 True positives: 1897 False positives: 11207 False negatives: 103 True negatives: 1793 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.24600 Precision: 0.14476 Recall: 0.94850 F1: 0.25119 F2: 0.44944 Total predictions: 15000 True positives: 1897 False positives: 11207 False negatives: 103 True negatives: 1793 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.24933 Precision: 0.14516 Recall: 0.94700 F1: 0.25173 F2: 0.44992 Total predictions: 15000 True positives: 1894 False positives: 11154 False negatives: 106 True negatives: 1846 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.24233 Precision: 0.14454 Recall: 0.95200 F1: 0.25097 F2: 0.44963 Total predictions: 15000 True positives: 1904 False positives: 11269 False negatives: 96 True negatives: 1731 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.73153 Precision: 0.20305 Recall: 0.34650 F1: 0.25605 F2: 0.30360 Total predictions: 15000 True positives: 693 False positives: 2720 False negatives: 1307 True negatives: 10280 ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.43920 Precision: 0.15872 Recall: 0.74550 F1: 0.26172 F2: 0.42860 Total predictions: 15000 True positives: 1491 False positives: 7903 False negatives: 509 True negatives: 5097 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.26420 Precision: 0.10772 Recall: 0.87300 F1: 0.19178 F2: 0.36062 Total predictions: 10000 True positives: 873 False positives: 7231 False negatives: 127 True negatives: 1769 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.25521 Precision: 0.15392 Recall: 0.93700 F1: 0.26441 F2: 0.46444 Total predictions: 14000 True positives: 1874 False positives: 10301 False negatives: 126 True negatives: 1699 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.27108 Precision: 0.16773 Recall: 0.94350 F1: 0.28483 F2: 0.49013 Total predictions: 13000 True positives: 1887 False positives: 9363 False negatives: 113 True negatives: 1637 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25407 Precision: 0.14876 Recall: 0.89400 F1: 0.25508 F2: 0.44658 Total predictions: 14000 True positives: 1788 False positives: 10231 False negatives: 212 True negatives: 1769 ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27369 Precision: 0.16723 Recall: 0.93500 F1: 0.28372 F2: 0.48744 Total predictions: 13000 True positives: 1870 False positives: 9312 False negatives: 130 True negatives: 1688 ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.24607 Precision: 0.14476 Recall: 0.87150 F1: 0.24827 F2: 0.43486 Total predictions: 14000 True positives: 1743 False positives: 10298 False negatives: 257 True negatives: 1702 ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.26515 Precision: 0.15888 Recall: 0.87950 F1: 0.26915 F2: 0.46117 Total predictions: 13000 True positives: 1759 False positives: 9312 False negatives: 241 True negatives: 1688 ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25486 Precision: 0.14826 Recall: 0.88850 F1: 0.25411 F2: 0.44456 Total predictions: 14000 True positives: 1777 False positives: 10209 False negatives: 223 True negatives: 1791 ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27377 Precision: 0.16725 Recall: 0.93500 F1: 0.28374 F2: 0.48746 Total predictions: 13000 True positives: 1870 False positives: 9311 False negatives: 130 True negatives: 1689 ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.25657 Precision: 0.15382 Recall: 0.93400 F1: 0.26414 F2: 0.46366 Total predictions: 14000 True positives: 1868 False positives: 10276 False negatives: 132 True negatives: 1724 ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.63650 Precision: 0.16620 Recall: 0.38450 F1: 0.23208 F2: 0.30451 Total predictions: 14000 True positives: 769 False positives: 3858 False negatives: 1231 True negatives: 8142 ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.24780 Precision: 0.14501 Recall: 0.94800 F1: 0.25154 F2: 0.44982 Total predictions: 15000 True positives: 1896 False positives: 11179 False negatives: 104 True negatives: 1821 ['poi', 'to_messages', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.49907 Precision: 0.17553 Recall: 0.67800 F1: 0.27887 F2: 0.43116 Total predictions: 14000 True positives: 1356 False positives: 6369 False negatives: 644 True negatives: 5631 ['poi', 'to_messages', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.25643 Precision: 0.15482 Recall: 0.94300 F1: 0.26597 F2: 0.46725 Total predictions: 14000 True positives: 1886 False positives: 10296 False negatives: 114 True negatives: 1704 ['poi', 'to_messages', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.73287 Precision: 0.20752 Recall: 0.35600 F1: 0.26220 F2: 0.31143 Total predictions: 15000 True positives: 712 False positives: 2719 False negatives: 1288 True negatives: 10281 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21214 Precision: 0.14978 Recall: 0.96550 F1: 0.25933 F2: 0.46214 Total predictions: 14000 True positives: 1931 False positives: 10961 False negatives: 69 True negatives: 1039 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.22045 Precision: 0.18877 Recall: 0.99700 F1: 0.31744 F2: 0.53709 Total predictions: 11000 True positives: 1994 False positives: 8569 False negatives: 6 True negatives: 431 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.21055 Precision: 0.17921 Recall: 0.93350 F1: 0.30069 F2: 0.50684 Total predictions: 11000 True positives: 1867 False positives: 8551 False negatives: 133 True negatives: 449 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.18662 Precision: 0.15824 Recall: 0.99250 F1: 0.27296 F2: 0.48311 Total predictions: 13000 True positives: 1985 False positives: 10559 False negatives: 15 True negatives: 441 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.20283 Precision: 0.17235 Recall: 0.99500 F1: 0.29381 F2: 0.50906 Total predictions: 12000 True positives: 1990 False positives: 9556 False negatives: 10 True negatives: 444 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22679 Precision: 0.14111 Recall: 0.86750 F1: 0.24274 F2: 0.42745 Total predictions: 14000 True positives: 1735 False positives: 10560 False negatives: 265 True negatives: 1440 ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22277 Precision: 0.16239 Recall: 0.97450 F1: 0.27839 F2: 0.48720 Total predictions: 13000 True positives: 1949 False positives: 10053 False negatives: 51 True negatives: 947 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.16786 Precision: 0.14142 Recall: 0.95150 F1: 0.24625 F2: 0.44347 Total predictions: 14000 True positives: 1903 False positives: 11553 False negatives: 97 True negatives: 447 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.16843 Precision: 0.14119 Recall: 0.94850 F1: 0.24579 F2: 0.44248 Total predictions: 14000 True positives: 1897 False positives: 11539 False negatives: 103 True negatives: 461 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.20750 Precision: 0.14274 Recall: 0.90850 F1: 0.24672 F2: 0.43827 Total predictions: 14000 True positives: 1817 False positives: 10912 False negatives: 183 True negatives: 1088 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.20143 Precision: 0.14468 Recall: 0.93450 F1: 0.25057 F2: 0.44674 Total predictions: 14000 True positives: 1869 False positives: 11049 False negatives: 131 True negatives: 951 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.21547 Precision: 0.12678 Recall: 0.82950 F1: 0.21994 F2: 0.39339 Total predictions: 15000 True positives: 1659 False positives: 11427 False negatives: 341 True negatives: 1573 ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.21671 Precision: 0.14250 Recall: 0.89350 F1: 0.24580 F2: 0.43500 Total predictions: 14000 True positives: 1787 False positives: 10753 False negatives: 213 True negatives: 1247 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.14567 Precision: 0.10142 Recall: 0.85100 F1: 0.18124 F2: 0.34339 Total predictions: 9000 True positives: 851 False positives: 7540 False negatives: 149 True negatives: 460 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.19383 Precision: 0.16542 Recall: 0.94850 F1: 0.28170 F2: 0.48721 Total predictions: 12000 True positives: 1897 False positives: 9571 False negatives: 103 True negatives: 429 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.19817 Precision: 0.16832 Recall: 0.96700 F1: 0.28673 F2: 0.49615 Total predictions: 12000 True positives: 1934 False positives: 9556 False negatives: 66 True negatives: 444 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.22021 Precision: 0.13362 Recall: 0.81300 F1: 0.22952 F2: 0.40309 Total predictions: 14000 True positives: 1626 False positives: 10543 False negatives: 374 True negatives: 1457 ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.18092 Precision: 0.15208 Recall: 0.94500 F1: 0.26199 F2: 0.46260 Total predictions: 13000 True positives: 1890 False positives: 10538 False negatives: 110 True negatives: 462 ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.18208 Precision: 0.15460 Recall: 0.87450 F1: 0.26275 F2: 0.45280 Total predictions: 12000 True positives: 1749 False positives: 9564 False negatives: 251 True negatives: 436 ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.18842 Precision: 0.15802 Recall: 0.89400 F1: 0.26857 F2: 0.46285 Total predictions: 12000 True positives: 1788 False positives: 9527 False negatives: 212 True negatives: 473 ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22021 Precision: 0.13338 Recall: 0.81100 F1: 0.22908 F2: 0.40226 Total predictions: 14000 True positives: 1622 False positives: 10539 False negatives: 378 True negatives: 1461 ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.18377 Precision: 0.15180 Recall: 0.93850 F1: 0.26133 F2: 0.46084 Total predictions: 13000 True positives: 1877 False positives: 10488 False negatives: 123 True negatives: 512 ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.17962 Precision: 0.15097 Recall: 0.93700 F1: 0.26004 F2: 0.45902 Total predictions: 13000 True positives: 1874 False positives: 10539 False negatives: 126 True negatives: 461 ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.20721 Precision: 0.13147 Recall: 0.81150 F1: 0.22628 F2: 0.39887 Total predictions: 14000 True positives: 1623 False positives: 10722 False negatives: 377 True negatives: 1278 ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.20014 Precision: 0.14227 Recall: 0.91450 F1: 0.24623 F2: 0.43848 Total predictions: 14000 True positives: 1829 False positives: 11027 False negatives: 171 True negatives: 973 ['poi', 'to_messages', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.21979 Precision: 0.13349 Recall: 0.81250 F1: 0.22931 F2: 0.40277 Total predictions: 14000 True positives: 1625 False positives: 10548 False negatives: 375 True negatives: 1452 ['poi', 'to_messages', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.19007 Precision: 0.14352 Recall: 0.94000 F1: 0.24902 F2: 0.44552 Total predictions: 14000 True positives: 1880 False positives: 11219 False negatives: 120 True negatives: 781 ['poi', 'to_messages', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22193 Precision: 0.12795 Recall: 0.83150 F1: 0.22178 F2: 0.39601 Total predictions: 15000 True positives: 1663 False positives: 11334 False negatives: 337 True negatives: 1666 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84343 Precision: 0.41623 Recall: 0.23850 F1: 0.30324 F2: 0.26077 Total predictions: 14000 True positives: 477 False positives: 669 False negatives: 1523 True negatives: 11331 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84479 Precision: 0.42297 Recall: 0.23750 F1: 0.30419 F2: 0.26033 Total predictions: 14000 True positives: 475 False positives: 648 False negatives: 1525 True negatives: 11352 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84179 Precision: 0.40913 Recall: 0.24200 F1: 0.30412 F2: 0.26353 Total predictions: 14000 True positives: 484 False positives: 699 False negatives: 1516 True negatives: 11301 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.83671 Precision: 0.38221 Recall: 0.23200 F1: 0.28874 F2: 0.25179 Total predictions: 14000 True positives: 464 False positives: 750 False negatives: 1536 True negatives: 11250 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84253 Precision: 0.33752 Recall: 0.18800 F1: 0.24149 F2: 0.20628 Total predictions: 15000 True positives: 376 False positives: 738 False negatives: 1624 True negatives: 12262 ['poi', 'to_messages', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84043 Precision: 0.41372 Recall: 0.28050 F1: 0.33433 F2: 0.29981 Total predictions: 14000 True positives: 561 False positives: 795 False negatives: 1439 True negatives: 11205 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79691 Precision: 0.34805 Recall: 0.13400 F1: 0.19350 F2: 0.15279 Total predictions: 11000 True positives: 268 False positives: 502 False negatives: 1732 True negatives: 8498 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80017 Precision: 0.28084 Recall: 0.12750 F1: 0.17538 F2: 0.14313 Total predictions: 12000 True positives: 255 False positives: 653 False negatives: 1745 True negatives: 9347 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81308 Precision: 0.34522 Recall: 0.13550 F1: 0.19461 F2: 0.15424 Total predictions: 12000 True positives: 271 False positives: 514 False negatives: 1729 True negatives: 9486 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82900 Precision: 0.21449 Recall: 0.07400 F1: 0.11004 F2: 0.08516 Total predictions: 14000 True positives: 148 False positives: 542 False negatives: 1852 True negatives: 11458 ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83423 Precision: 0.42909 Recall: 0.23450 F1: 0.30327 F2: 0.25789 Total predictions: 13000 True positives: 469 False positives: 624 False negatives: 1531 True negatives: 10376 ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79708 Precision: 0.25860 Recall: 0.11650 F1: 0.16063 F2: 0.13088 Total predictions: 12000 True positives: 233 False positives: 668 False negatives: 1767 True negatives: 9332 ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80192 Precision: 0.27533 Recall: 0.11550 F1: 0.16273 F2: 0.13067 Total predictions: 12000 True positives: 231 False positives: 608 False negatives: 1769 True negatives: 9392 ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82771 Precision: 0.20058 Recall: 0.06900 F1: 0.10268 F2: 0.07942 Total predictions: 14000 True positives: 138 False positives: 550 False negatives: 1862 True negatives: 11450 ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83623 Precision: 0.43966 Recall: 0.23500 F1: 0.30629 F2: 0.25912 Total predictions: 13000 True positives: 470 False positives: 599 False negatives: 1530 True negatives: 10401 ['poi', 'to_messages', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.81100 Precision: 0.27173 Recall: 0.13600 F1: 0.18127 F2: 0.15109 Total predictions: 13000 True positives: 272 False positives: 729 False negatives: 1728 True negatives: 10271 ['poi', 'to_messages', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82257 Precision: 0.20270 Recall: 0.08250 F1: 0.11727 F2: 0.09360 Total predictions: 14000 True positives: 165 False positives: 649 False negatives: 1835 True negatives: 11351 ['poi', 'to_messages', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83793 Precision: 0.39214 Recall: 0.24450 F1: 0.30120 F2: 0.26441 Total predictions: 14000 True positives: 489 False positives: 758 False negatives: 1511 True negatives: 11242 ['poi', 'to_messages', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82329 Precision: 0.18979 Recall: 0.07250 F1: 0.10492 F2: 0.08272 Total predictions: 14000 True positives: 145 False positives: 619 False negatives: 1855 True negatives: 11381 ['poi', 'to_messages', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.82969 Precision: 0.40446 Recall: 0.22650 F1: 0.29038 F2: 0.24836 Total predictions: 13000 True positives: 453 False positives: 667 False negatives: 1547 True negatives: 10333 ['poi', 'to_messages', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84833 Precision: 0.36453 Recall: 0.18500 F1: 0.24544 F2: 0.20521 Total predictions: 15000 True positives: 370 False positives: 645 False negatives: 1630 True negatives: 12355 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.86450 Precision: 0.55678 Recall: 0.25250 F1: 0.34744 F2: 0.28348 Total predictions: 14000 True positives: 505 False positives: 402 False negatives: 1495 True negatives: 11598 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.85943 Precision: 0.51566 Recall: 0.26350 F1: 0.34878 F2: 0.29206 Total predictions: 14000 True positives: 527 False positives: 495 False negatives: 1473 True negatives: 11505 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85321 Precision: 0.47126 Recall: 0.22550 F1: 0.30504 F2: 0.25176 Total predictions: 14000 True positives: 451 False positives: 506 False negatives: 1549 True negatives: 11494 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84980 Precision: 0.36891 Recall: 0.17800 F1: 0.24013 F2: 0.19855 Total predictions: 15000 True positives: 356 False positives: 609 False negatives: 1644 True negatives: 12391 ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84514 Precision: 0.43417 Recall: 0.27700 F1: 0.33822 F2: 0.29862 Total predictions: 14000 True positives: 554 False positives: 722 False negatives: 1446 True negatives: 11278 ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85900 Precision: 0.51265 Recall: 0.26350 F1: 0.34808 F2: 0.29187 Total predictions: 14000 True positives: 527 False positives: 501 False negatives: 1473 True negatives: 11499 ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.85571 Precision: 0.48911 Recall: 0.22450 F1: 0.30775 F2: 0.25174 Total predictions: 14000 True positives: 449 False positives: 469 False negatives: 1551 True negatives: 11531 ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84973 Precision: 0.36798 Recall: 0.17700 F1: 0.23903 F2: 0.19750 Total predictions: 15000 True positives: 354 False positives: 608 False negatives: 1646 True negatives: 12392 ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84714 Precision: 0.44382 Recall: 0.27650 F1: 0.34073 F2: 0.29905 Total predictions: 14000 True positives: 553 False positives: 693 False negatives: 1447 True negatives: 11307 ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.85493 Precision: 0.48491 Recall: 0.24900 F1: 0.32904 F2: 0.27584 Total predictions: 14000 True positives: 498 False positives: 529 False negatives: 1502 True negatives: 11471 ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85120 Precision: 0.38560 Recall: 0.19550 F1: 0.25946 F2: 0.21688 Total predictions: 15000 True positives: 391 False positives: 623 False negatives: 1609 True negatives: 12377 ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85000 Precision: 0.45667 Recall: 0.26350 F1: 0.33418 F2: 0.28785 Total predictions: 14000 True positives: 527 False positives: 627 False negatives: 1473 True negatives: 11373 ['poi', 'to_messages', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.84700 Precision: 0.34872 Recall: 0.17000 F1: 0.22857 F2: 0.18942 Total predictions: 15000 True positives: 340 False positives: 635 False negatives: 1660 True negatives: 12365 ['poi', 'to_messages', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84979 Precision: 0.45549 Recall: 0.26350 F1: 0.33386 F2: 0.28776 Total predictions: 14000 True positives: 527 False positives: 630 False negatives: 1473 True negatives: 11370 ['poi', 'to_messages', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84580 Precision: 0.36681 Recall: 0.21550 F1: 0.27150 F2: 0.23488 Total predictions: 15000 True positives: 431 False positives: 744 False negatives: 1569 True negatives: 12256 ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80242 Precision: 0.20787 Recall: 0.06600 F1: 0.10019 F2: 0.07643 Total predictions: 12000 True positives: 132 False positives: 503 False negatives: 1868 True negatives: 9497 ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80342 Precision: 0.27646 Recall: 0.11100 F1: 0.15840 F2: 0.12609 Total predictions: 12000 True positives: 222 False positives: 581 False negatives: 1778 True negatives: 9419 ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83121 Precision: 0.09577 Recall: 0.02150 F1: 0.03512 F2: 0.02545 Total predictions: 14000 True positives: 43 False positives: 406 False negatives: 1957 True negatives: 11594 ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84067 Precision: 0.54721 Recall: 0.25500 F1: 0.34789 F2: 0.28549 Total predictions: 12000 True positives: 510 False positives: 422 False negatives: 1490 True negatives: 9578 ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81662 Precision: 0.27412 Recall: 0.11650 F1: 0.16351 F2: 0.13164 Total predictions: 13000 True positives: 233 False positives: 617 False negatives: 1767 True negatives: 10383 ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.83057 Precision: 0.21296 Recall: 0.06900 F1: 0.10423 F2: 0.07979 Total predictions: 14000 True positives: 138 False positives: 510 False negatives: 1862 True negatives: 11490 ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85407 Precision: 0.48040 Recall: 0.26350 F1: 0.34033 F2: 0.28966 Total predictions: 14000 True positives: 527 False positives: 570 False negatives: 1473 True negatives: 11430 ['poi', 'to_messages', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.83536 Precision: 0.20952 Recall: 0.05500 F1: 0.08713 F2: 0.06452 Total predictions: 14000 True positives: 110 False positives: 415 False negatives: 1890 True negatives: 11585 ['poi', 'to_messages', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.84785 Precision: 0.51273 Recall: 0.22150 F1: 0.30936 F2: 0.24989 Total predictions: 13000 True positives: 443 False positives: 421 False negatives: 1557 True negatives: 10579 ['poi', 'to_messages', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85520 Precision: 0.40271 Recall: 0.17800 F1: 0.24688 F2: 0.20036 Total predictions: 15000 True positives: 356 False positives: 528 False negatives: 1644 True negatives: 12472 ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.81454 Precision: 0.26514 Recall: 0.11600 F1: 0.16139 F2: 0.13070 Total predictions: 13000 True positives: 232 False positives: 643 False negatives: 1768 True negatives: 10357 ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82986 Precision: 0.20973 Recall: 0.06900 F1: 0.10384 F2: 0.07970 Total predictions: 14000 True positives: 138 False positives: 520 False negatives: 1862 True negatives: 11480 ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85500 Precision: 0.48616 Recall: 0.26350 F1: 0.34176 F2: 0.29007 Total predictions: 14000 True positives: 527 False positives: 557 False negatives: 1473 True negatives: 11443 ['poi', 'to_messages', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83479 Precision: 0.20638 Recall: 0.05500 F1: 0.08685 F2: 0.06446 Total predictions: 14000 True positives: 110 False positives: 423 False negatives: 1890 True negatives: 11577 ['poi', 'to_messages', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84862 Precision: 0.51891 Recall: 0.21950 F1: 0.30850 F2: 0.24813 Total predictions: 13000 True positives: 439 False positives: 407 False negatives: 1561 True negatives: 10593 ['poi', 'to_messages', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85560 Precision: 0.40547 Recall: 0.17800 F1: 0.24739 F2: 0.20050 Total predictions: 15000 True positives: 356 False positives: 522 False negatives: 1644 True negatives: 12478 ['poi', 'to_messages', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82921 Precision: 0.20777 Recall: 0.06950 F1: 0.10416 F2: 0.08017 Total predictions: 14000 True positives: 139 False positives: 530 False negatives: 1861 True negatives: 11470 ['poi', 'to_messages', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.85457 Precision: 0.48318 Recall: 0.25850 F1: 0.33681 F2: 0.28501 Total predictions: 14000 True positives: 517 False positives: 553 False negatives: 1483 True negatives: 11447 ['poi', 'to_messages', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85033 Precision: 0.38072 Recall: 0.19550 F1: 0.25834 F2: 0.21657 Total predictions: 15000 True positives: 391 False positives: 636 False negatives: 1609 True negatives: 12364 ['poi', 'to_messages', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'to_messages', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85180 Precision: 0.37972 Recall: 0.17600 F1: 0.24052 F2: 0.19715 Total predictions: 15000 True positives: 352 False positives: 575 False negatives: 1648 True negatives: 12425 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'deferred_income'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'deferred_income'] Accuracy: 0.84831 Precision: 0.51237 Recall: 0.29000 F1: 0.37037 F2: 0.31756 Total predictions: 13000 True positives: 580 False positives: 552 False negatives: 1420 True negatives: 10448 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'long_term_incentive'] Accuracy: 0.81700 Precision: 0.41327 Recall: 0.23350 F1: 0.29840 F2: 0.25575 Total predictions: 12000 True positives: 467 False positives: 663 False negatives: 1533 True negatives: 9337 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'restricted_stock_deferred'] Accuracy: 0.30708 Precision: 0.17483 Recall: 0.94200 F1: 0.29493 F2: 0.50170 Total predictions: 13000 True positives: 1884 False positives: 8892 False negatives: 116 True negatives: 2108 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'shared_receipt_with_poi'] Accuracy: 0.80769 Precision: 0.30469 Recall: 0.19500 F1: 0.23780 F2: 0.21013 Total predictions: 13000 True positives: 390 False positives: 890 False negatives: 1610 True negatives: 10110 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_messages'] Accuracy: 0.77069 Precision: 0.22241 Recall: 0.19650 F1: 0.20865 F2: 0.20119 Total predictions: 13000 True positives: 393 False positives: 1374 False negatives: 1607 True negatives: 9626 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'other'] Accuracy: 0.79675 Precision: 0.19724 Recall: 0.07150 F1: 0.10495 F2: 0.08195 Total predictions: 12000 True positives: 143 False positives: 582 False negatives: 1857 True negatives: 9418 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'director_fees'] Accuracy: 0.30346 Precision: 0.17347 Recall: 0.93700 F1: 0.29274 F2: 0.49832 Total predictions: 13000 True positives: 1874 False positives: 8929 False negatives: 126 True negatives: 2071 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'resto_dirfees'] Accuracy: 0.22333 Precision: 0.17015 Recall: 0.94400 F1: 0.28833 F2: 0.49434 Total predictions: 12000 True positives: 1888 False positives: 9208 False negatives: 112 True negatives: 792 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'bonus'] Accuracy: 0.81342 Precision: 0.38387 Recall: 0.19750 F1: 0.26081 F2: 0.21874 Total predictions: 12000 True positives: 395 False positives: 634 False negatives: 1605 True negatives: 9366 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'total_stock_value'] Accuracy: 0.85721 Precision: 0.50044 Recall: 0.28500 F1: 0.36317 F2: 0.31185 Total predictions: 14000 True positives: 570 False positives: 569 False negatives: 1430 True negatives: 11431 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_poi_to_this_person'] Accuracy: 0.81415 Precision: 0.33492 Recall: 0.21100 F1: 0.25890 F2: 0.22786 Total predictions: 13000 True positives: 422 False positives: 838 False negatives: 1578 True negatives: 10162 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'from_this_person_to_poi'] Accuracy: 0.80685 Precision: 0.25073 Recall: 0.12850 F1: 0.16992 F2: 0.14238 Total predictions: 13000 True positives: 257 False positives: 768 False negatives: 1743 True negatives: 10232 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'restricted_stock'] Accuracy: 0.83814 Precision: 0.36620 Recall: 0.18200 F1: 0.24315 F2: 0.20236 Total predictions: 14000 True positives: 364 False positives: 630 False negatives: 1636 True negatives: 11370 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'salary'] Accuracy: 0.81417 Precision: 0.38360 Recall: 0.18950 F1: 0.25368 F2: 0.21084 Total predictions: 12000 True positives: 379 False positives: 609 False negatives: 1621 True negatives: 9391 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'total_payments'] Accuracy: 0.82392 Precision: 0.25796 Recall: 0.07700 F1: 0.11860 F2: 0.08957 Total predictions: 13000 True positives: 154 False positives: 443 False negatives: 1846 True negatives: 10557 ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'expenses', 'exercised_stock_options'] Accuracy: 0.85293 Precision: 0.47459 Recall: 0.27550 F1: 0.34862 F2: 0.30073 Total predictions: 14000 True positives: 551 False positives: 610 False negatives: 1449 True negatives: 11390 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'long_term_incentive'] Accuracy: 0.83633 Precision: 0.51544 Recall: 0.30050 F1: 0.37966 F2: 0.32784 Total predictions: 12000 True positives: 601 False positives: 565 False negatives: 1399 True negatives: 9435 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.32325 Precision: 0.18970 Recall: 0.93550 F1: 0.31543 F2: 0.52371 Total predictions: 12000 True positives: 1871 False positives: 7992 False negatives: 129 True negatives: 2008 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.83092 Precision: 0.42314 Recall: 0.27250 F1: 0.33151 F2: 0.29339 Total predictions: 13000 True positives: 545 False positives: 743 False negatives: 1455 True negatives: 10257 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_messages'] Accuracy: 0.83646 Precision: 0.45284 Recall: 0.30250 F1: 0.36271 F2: 0.32401 Total predictions: 13000 True positives: 605 False positives: 731 False negatives: 1395 True negatives: 10269 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'other'] Accuracy: 0.81825 Precision: 0.40622 Recall: 0.19600 F1: 0.26442 F2: 0.21863 Total predictions: 12000 True positives: 392 False positives: 573 False negatives: 1608 True negatives: 9427 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'director_fees'] Accuracy: 0.32417 Precision: 0.18985 Recall: 0.93500 F1: 0.31561 F2: 0.52381 Total predictions: 12000 True positives: 1870 False positives: 7980 False negatives: 130 True negatives: 2020 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'resto_dirfees'] Accuracy: 0.22217 Precision: 0.17023 Recall: 0.94650 F1: 0.28857 F2: 0.49503 Total predictions: 12000 True positives: 1893 False positives: 9227 False negatives: 107 True negatives: 773 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'bonus'] Accuracy: 0.83592 Precision: 0.51306 Recall: 0.30450 F1: 0.38218 F2: 0.33145 Total predictions: 12000 True positives: 609 False positives: 578 False negatives: 1391 True negatives: 9422 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'total_stock_value'] Accuracy: 0.84586 Precision: 0.44208 Recall: 0.30150 F1: 0.35850 F2: 0.32198 Total predictions: 14000 True positives: 603 False positives: 761 False negatives: 1397 True negatives: 11239 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.84246 Precision: 0.47798 Recall: 0.26050 F1: 0.33722 F2: 0.28658 Total predictions: 13000 True positives: 521 False positives: 569 False negatives: 1479 True negatives: 10431 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.83608 Precision: 0.44209 Recall: 0.25000 F1: 0.31939 F2: 0.27379 Total predictions: 13000 True positives: 500 False positives: 631 False negatives: 1500 True negatives: 10369 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'restricted_stock'] Accuracy: 0.84086 Precision: 0.40640 Recall: 0.24750 F1: 0.30764 F2: 0.26850 Total predictions: 14000 True positives: 495 False positives: 723 False negatives: 1505 True negatives: 11277 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'salary'] Accuracy: 0.82917 Precision: 0.47924 Recall: 0.28850 F1: 0.36017 F2: 0.31345 Total predictions: 12000 True positives: 577 False positives: 627 False negatives: 1423 True negatives: 9373 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'total_payments'] Accuracy: 0.83638 Precision: 0.41361 Recall: 0.15200 F1: 0.22230 F2: 0.17401 Total predictions: 13000 True positives: 304 False positives: 431 False negatives: 1696 True negatives: 10569 ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.85329 Precision: 0.47783 Recall: 0.29100 F1: 0.36172 F2: 0.31569 Total predictions: 14000 True positives: 582 False positives: 636 False negatives: 1418 True negatives: 11364 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.35327 Precision: 0.21127 Recall: 0.93550 F1: 0.34469 F2: 0.55500 Total predictions: 11000 True positives: 1871 False positives: 6985 False negatives: 129 True negatives: 2015 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.80517 Precision: 0.36609 Recall: 0.23100 F1: 0.28326 F2: 0.24941 Total predictions: 12000 True positives: 462 False positives: 800 False negatives: 1538 True negatives: 9200 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_messages'] Accuracy: 0.78008 Precision: 0.34112 Recall: 0.34300 F1: 0.34206 F2: 0.34262 Total predictions: 12000 True positives: 686 False positives: 1325 False negatives: 1314 True negatives: 8675 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'other'] Accuracy: 0.79109 Precision: 0.27695 Recall: 0.09250 F1: 0.13868 F2: 0.10671 Total predictions: 11000 True positives: 185 False positives: 483 False negatives: 1815 True negatives: 8517 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'director_fees'] Accuracy: 0.32708 Precision: 0.19052 Recall: 0.93500 F1: 0.31655 F2: 0.52484 Total predictions: 12000 True positives: 1870 False positives: 7945 False negatives: 130 True negatives: 2055 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.25364 Precision: 0.18925 Recall: 0.94550 F1: 0.31538 F2: 0.52551 Total predictions: 11000 True positives: 1891 False positives: 8101 False negatives: 109 True negatives: 899 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'bonus'] Accuracy: 0.79545 Precision: 0.38739 Recall: 0.21500 F1: 0.27653 F2: 0.23600 Total predictions: 11000 True positives: 430 False positives: 680 False negatives: 1570 True negatives: 8320 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84008 Precision: 0.46609 Recall: 0.27150 F1: 0.34313 F2: 0.29624 Total predictions: 13000 True positives: 543 False positives: 622 False negatives: 1457 True negatives: 10378 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.81075 Precision: 0.37760 Recall: 0.20900 F1: 0.26907 F2: 0.22949 Total predictions: 12000 True positives: 418 False positives: 689 False negatives: 1582 True negatives: 9311 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.79892 Precision: 0.29371 Recall: 0.14700 F1: 0.19593 F2: 0.16332 Total predictions: 12000 True positives: 294 False positives: 707 False negatives: 1706 True negatives: 9293 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.82454 Precision: 0.37376 Recall: 0.20800 F1: 0.26727 F2: 0.22825 Total predictions: 13000 True positives: 416 False positives: 697 False negatives: 1584 True negatives: 10303 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'salary'] Accuracy: 0.80400 Precision: 0.41789 Recall: 0.19850 F1: 0.26915 F2: 0.22179 Total predictions: 11000 True positives: 397 False positives: 553 False negatives: 1603 True negatives: 8447 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'total_payments'] Accuracy: 0.81946 Precision: 0.25250 Recall: 0.08850 F1: 0.13106 F2: 0.10171 Total predictions: 13000 True positives: 177 False positives: 524 False negatives: 1823 True negatives: 10476 ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.83862 Precision: 0.45625 Recall: 0.25550 F1: 0.32756 F2: 0.28015 Total predictions: 13000 True positives: 511 False positives: 609 False negatives: 1489 True negatives: 10391 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.32408 Precision: 0.18964 Recall: 0.93350 F1: 0.31524 F2: 0.52312 Total predictions: 12000 True positives: 1867 False positives: 7978 False negatives: 133 True negatives: 2022 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.33617 Precision: 0.18487 Recall: 0.87500 F1: 0.30525 F2: 0.50097 Total predictions: 12000 True positives: 1750 False positives: 7716 False negatives: 250 True negatives: 2284 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'other'] Accuracy: 0.33358 Precision: 0.18553 Recall: 0.88450 F1: 0.30672 F2: 0.50442 Total predictions: 12000 True positives: 1769 False positives: 7766 False negatives: 231 True negatives: 2234 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.41425 Precision: 0.21332 Recall: 0.93550 F1: 0.34741 F2: 0.55781 Total predictions: 12000 True positives: 1871 False positives: 6900 False negatives: 129 True negatives: 3100 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.35064 Precision: 0.21136 Recall: 0.94150 F1: 0.34522 F2: 0.55680 Total predictions: 11000 True positives: 1883 False positives: 7026 False negatives: 117 True negatives: 1974 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.36645 Precision: 0.21557 Recall: 0.94150 F1: 0.35082 F2: 0.56259 Total predictions: 11000 True positives: 1883 False positives: 6852 False negatives: 117 True negatives: 2148 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.29264 Precision: 0.16235 Recall: 0.95000 F1: 0.27731 F2: 0.48216 Total predictions: 14000 True positives: 1900 False positives: 9803 False negatives: 100 True negatives: 2197 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.32533 Precision: 0.19050 Recall: 0.93800 F1: 0.31668 F2: 0.52555 Total predictions: 12000 True positives: 1876 False positives: 7972 False negatives: 124 True negatives: 2028 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.32408 Precision: 0.18412 Recall: 0.89050 F1: 0.30515 F2: 0.50388 Total predictions: 12000 True positives: 1781 False positives: 7892 False negatives: 219 True negatives: 2108 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.30885 Precision: 0.17484 Recall: 0.93900 F1: 0.29480 F2: 0.50104 Total predictions: 13000 True positives: 1878 False positives: 8863 False negatives: 122 True negatives: 2137 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'salary'] Accuracy: 0.33825 Precision: 0.19474 Recall: 0.94750 F1: 0.32308 F2: 0.53437 Total predictions: 12000 True positives: 1895 False positives: 7836 False negatives: 105 True negatives: 2164 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.29177 Precision: 0.16538 Recall: 0.89050 F1: 0.27896 F2: 0.47445 Total predictions: 13000 True positives: 1781 False positives: 8988 False negatives: 219 True negatives: 2012 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.30669 Precision: 0.17409 Recall: 0.93650 F1: 0.29360 F2: 0.49923 Total predictions: 13000 True positives: 1873 False positives: 8886 False negatives: 127 True negatives: 2114 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.73558 Precision: 0.19721 Recall: 0.19100 F1: 0.19406 F2: 0.19221 Total predictions: 12000 True positives: 382 False positives: 1555 False negatives: 1618 True negatives: 8445 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78467 Precision: 0.16968 Recall: 0.07500 F1: 0.10402 F2: 0.08442 Total predictions: 12000 True positives: 150 False positives: 734 False negatives: 1850 True negatives: 9266 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29462 Precision: 0.17122 Recall: 0.93350 F1: 0.28937 F2: 0.49381 Total predictions: 13000 True positives: 1867 False positives: 9037 False negatives: 133 True negatives: 1963 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.23075 Precision: 0.17051 Recall: 0.93550 F1: 0.28845 F2: 0.49307 Total predictions: 12000 True positives: 1871 False positives: 9102 False negatives: 129 True negatives: 898 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80300 Precision: 0.33865 Recall: 0.19100 F1: 0.24425 F2: 0.20925 Total predictions: 12000 True positives: 382 False positives: 746 False negatives: 1618 True negatives: 9254 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83543 Precision: 0.37762 Recall: 0.23450 F1: 0.28933 F2: 0.25373 Total predictions: 14000 True positives: 469 False positives: 773 False negatives: 1531 True negatives: 11227 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78933 Precision: 0.30180 Recall: 0.20100 F1: 0.24130 F2: 0.21539 Total predictions: 12000 True positives: 402 False positives: 930 False negatives: 1598 True negatives: 9070 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78883 Precision: 0.25000 Recall: 0.13350 F1: 0.17405 F2: 0.14722 Total predictions: 12000 True positives: 267 False positives: 801 False negatives: 1733 True negatives: 9199 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.80338 Precision: 0.25993 Recall: 0.15050 F1: 0.19063 F2: 0.16434 Total predictions: 13000 True positives: 301 False positives: 857 False negatives: 1699 True negatives: 10143 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.79542 Precision: 0.30405 Recall: 0.17650 F1: 0.22335 F2: 0.19266 Total predictions: 12000 True positives: 353 False positives: 808 False negatives: 1647 True negatives: 9192 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.81779 Precision: 0.16847 Recall: 0.07000 F1: 0.09890 F2: 0.07927 Total predictions: 14000 True positives: 140 False positives: 691 False negatives: 1860 True negatives: 11309 ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82877 Precision: 0.40813 Recall: 0.25100 F1: 0.31084 F2: 0.27194 Total predictions: 13000 True positives: 502 False positives: 728 False negatives: 1498 True negatives: 10272 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'other'] Accuracy: 0.78233 Precision: 0.20577 Recall: 0.10700 F1: 0.14079 F2: 0.11836 Total predictions: 12000 True positives: 214 False positives: 826 False negatives: 1786 True negatives: 9174 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'director_fees'] Accuracy: 0.31954 Precision: 0.16883 Recall: 0.87250 F1: 0.28291 F2: 0.47584 Total predictions: 13000 True positives: 1745 False positives: 8591 False negatives: 255 True negatives: 2409 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'resto_dirfees'] Accuracy: 0.24650 Precision: 0.16492 Recall: 0.86650 F1: 0.27710 F2: 0.46818 Total predictions: 12000 True positives: 1733 False positives: 8775 False negatives: 267 True negatives: 1225 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'bonus'] Accuracy: 0.78533 Precision: 0.27323 Recall: 0.17350 F1: 0.21223 F2: 0.18716 Total predictions: 12000 True positives: 347 False positives: 923 False negatives: 1653 True negatives: 9077 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'total_stock_value'] Accuracy: 0.84571 Precision: 0.43377 Recall: 0.26200 F1: 0.32668 F2: 0.28454 Total predictions: 14000 True positives: 524 False positives: 684 False negatives: 1476 True negatives: 11316 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.72183 Precision: 0.19199 Recall: 0.20850 F1: 0.19990 F2: 0.20497 Total predictions: 12000 True positives: 417 False positives: 1755 False negatives: 1583 True negatives: 8245 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.72233 Precision: 0.18791 Recall: 0.20050 F1: 0.19400 F2: 0.19785 Total predictions: 12000 True positives: 401 False positives: 1733 False negatives: 1599 True negatives: 8267 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'restricted_stock'] Accuracy: 0.79977 Precision: 0.24253 Recall: 0.14200 F1: 0.17912 F2: 0.15484 Total predictions: 13000 True positives: 284 False positives: 887 False negatives: 1716 True negatives: 10113 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'salary'] Accuracy: 0.74875 Precision: 0.20749 Recall: 0.18000 F1: 0.19277 F2: 0.18490 Total predictions: 12000 True positives: 360 False positives: 1375 False negatives: 1640 True negatives: 8625 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'total_payments'] Accuracy: 0.82029 Precision: 0.15135 Recall: 0.05600 F1: 0.08175 F2: 0.06407 Total predictions: 14000 True positives: 112 False positives: 628 False negatives: 1888 True negatives: 11372 ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83662 Precision: 0.45223 Recall: 0.29350 F1: 0.35597 F2: 0.31566 Total predictions: 13000 True positives: 587 False positives: 711 False negatives: 1413 True negatives: 10289 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'director_fees'] Accuracy: 0.32767 Precision: 0.18416 Recall: 0.88450 F1: 0.30484 F2: 0.50239 Total predictions: 12000 True positives: 1769 False positives: 7837 False negatives: 231 True negatives: 2163 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'resto_dirfees'] Accuracy: 0.23864 Precision: 0.18019 Recall: 0.89800 F1: 0.30016 F2: 0.49981 Total predictions: 11000 True positives: 1796 False positives: 8171 False negatives: 204 True negatives: 829 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'bonus'] Accuracy: 0.78845 Precision: 0.29225 Recall: 0.11500 F1: 0.16505 F2: 0.13088 Total predictions: 11000 True positives: 230 False positives: 557 False negatives: 1770 True negatives: 8443 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'total_stock_value'] Accuracy: 0.83914 Precision: 0.37574 Recall: 0.19050 F1: 0.25282 F2: 0.21134 Total predictions: 14000 True positives: 381 False positives: 633 False negatives: 1619 True negatives: 11367 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'from_poi_to_this_person'] Accuracy: 0.79067 Precision: 0.18627 Recall: 0.07600 F1: 0.10795 F2: 0.08621 Total predictions: 12000 True positives: 152 False positives: 664 False negatives: 1848 True negatives: 9336 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'from_this_person_to_poi'] Accuracy: 0.78067 Precision: 0.11650 Recall: 0.04800 F1: 0.06799 F2: 0.05440 Total predictions: 12000 True positives: 96 False positives: 728 False negatives: 1904 True negatives: 9272 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'restricted_stock'] Accuracy: 0.80377 Precision: 0.16361 Recall: 0.06700 F1: 0.09507 F2: 0.07597 Total predictions: 13000 True positives: 134 False positives: 685 False negatives: 1866 True negatives: 10315 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'salary'] Accuracy: 0.77582 Precision: 0.18850 Recall: 0.07050 F1: 0.10262 F2: 0.08059 Total predictions: 11000 True positives: 141 False positives: 607 False negatives: 1859 True negatives: 8393 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'total_payments'] Accuracy: 0.81246 Precision: 0.18444 Recall: 0.06400 F1: 0.09503 F2: 0.07361 Total predictions: 13000 True positives: 128 False positives: 566 False negatives: 1872 True negatives: 10434 ['poi', 'salary_bonus', 'deferral_payments', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'other', 'exercised_stock_options'] Accuracy: 0.83046 Precision: 0.39009 Recall: 0.18100 F1: 0.24727 F2: 0.20273 Total predictions: 13000 True positives: 362 False positives: 566 False negatives: 1638 True negatives: 10434 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'resto_dirfees'] Accuracy: 0.32150 Precision: 0.19011 Recall: 0.94200 F1: 0.31637 F2: 0.52596 Total predictions: 12000 True positives: 1884 False positives: 8026 False negatives: 116 True negatives: 1974 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'bonus'] Accuracy: 0.34300 Precision: 0.19475 Recall: 0.93850 F1: 0.32256 F2: 0.53209 Total predictions: 12000 True positives: 1877 False positives: 7761 False negatives: 123 True negatives: 2239 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'total_stock_value'] Accuracy: 0.29093 Precision: 0.15228 Recall: 0.94550 F1: 0.26231 F2: 0.46307 Total predictions: 15000 True positives: 1891 False positives: 10527 False negatives: 109 True negatives: 2473 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30300 Precision: 0.17368 Recall: 0.93950 F1: 0.29316 F2: 0.49923 Total predictions: 13000 True positives: 1879 False positives: 8940 False negatives: 121 True negatives: 2060 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30423 Precision: 0.16659 Recall: 0.88000 F1: 0.28014 F2: 0.47401 Total predictions: 13000 True positives: 1760 False positives: 8805 False negatives: 240 True negatives: 2195 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'restricted_stock'] Accuracy: 0.29500 Precision: 0.16177 Recall: 0.94100 F1: 0.27607 F2: 0.47927 Total predictions: 14000 True positives: 1882 False positives: 9752 False negatives: 118 True negatives: 2248 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'salary'] Accuracy: 0.31700 Precision: 0.17665 Recall: 0.93950 F1: 0.29738 F2: 0.50410 Total predictions: 13000 True positives: 1879 False positives: 8758 False negatives: 121 True negatives: 2242 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'total_payments'] Accuracy: 0.36977 Precision: 0.17875 Recall: 0.86150 F1: 0.29607 F2: 0.48841 Total predictions: 13000 True positives: 1723 False positives: 7916 False negatives: 277 True negatives: 3084 ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30171 Precision: 0.16314 Recall: 0.94150 F1: 0.27810 F2: 0.48178 Total predictions: 14000 True positives: 1883 False positives: 9659 False negatives: 117 True negatives: 2341 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'bonus'] Accuracy: 0.25118 Precision: 0.18868 Recall: 0.94500 F1: 0.31455 F2: 0.52450 Total predictions: 11000 True positives: 1890 False positives: 8127 False negatives: 110 True negatives: 873 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21329 Precision: 0.14684 Recall: 0.93700 F1: 0.25390 F2: 0.45131 Total predictions: 14000 True positives: 1874 False positives: 10888 False negatives: 126 True negatives: 1112 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.22925 Precision: 0.17101 Recall: 0.94200 F1: 0.28947 F2: 0.49535 Total predictions: 12000 True positives: 1884 False positives: 9133 False negatives: 116 True negatives: 867 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.22325 Precision: 0.16291 Recall: 0.88450 F1: 0.27514 F2: 0.46901 Total predictions: 12000 True positives: 1769 False positives: 9090 False negatives: 231 True negatives: 910 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21385 Precision: 0.15681 Recall: 0.93900 F1: 0.26875 F2: 0.47006 Total predictions: 13000 True positives: 1878 False positives: 10098 False negatives: 122 True negatives: 902 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'salary'] Accuracy: 0.24182 Precision: 0.18608 Recall: 0.93950 F1: 0.31063 F2: 0.51912 Total predictions: 11000 True positives: 1879 False positives: 8219 False negatives: 121 True negatives: 781 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'total_payments'] Accuracy: 0.23846 Precision: 0.14625 Recall: 0.81650 F1: 0.24806 F2: 0.42601 Total predictions: 13000 True positives: 1633 False positives: 9533 False negatives: 367 True negatives: 1467 ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22062 Precision: 0.15792 Recall: 0.93850 F1: 0.27034 F2: 0.47194 Total predictions: 13000 True positives: 1877 False positives: 10009 False negatives: 123 True negatives: 991 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'total_stock_value'] Accuracy: 0.84077 Precision: 0.47126 Recall: 0.28700 F1: 0.35674 F2: 0.31135 Total predictions: 13000 True positives: 574 False positives: 644 False negatives: 1426 True negatives: 10356 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80055 Precision: 0.40102 Recall: 0.19650 F1: 0.26376 F2: 0.21882 Total predictions: 11000 True positives: 393 False positives: 587 False negatives: 1607 True negatives: 8413 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78527 Precision: 0.29291 Recall: 0.12800 F1: 0.17815 F2: 0.14424 Total predictions: 11000 True positives: 256 False positives: 618 False negatives: 1744 True negatives: 8382 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'restricted_stock'] Accuracy: 0.81754 Precision: 0.33511 Recall: 0.18900 F1: 0.24169 F2: 0.20706 Total predictions: 13000 True positives: 378 False positives: 750 False negatives: 1622 True negatives: 10250 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'salary'] Accuracy: 0.79545 Precision: 0.36472 Recall: 0.16850 F1: 0.23051 F2: 0.18882 Total predictions: 11000 True positives: 337 False positives: 587 False negatives: 1663 True negatives: 8413 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'total_payments'] Accuracy: 0.81923 Precision: 0.29745 Recall: 0.12850 F1: 0.17947 F2: 0.14497 Total predictions: 13000 True positives: 257 False positives: 607 False negatives: 1743 True negatives: 10393 ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'bonus', 'exercised_stock_options'] Accuracy: 0.84162 Precision: 0.47770 Recall: 0.31600 F1: 0.38038 F2: 0.33895 Total predictions: 13000 True positives: 632 False positives: 691 False negatives: 1368 True negatives: 10309 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84477 Precision: 0.49085 Recall: 0.24150 F1: 0.32373 F2: 0.26881 Total predictions: 13000 True positives: 483 False positives: 501 False negatives: 1517 True negatives: 10499 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86071 Precision: 0.52700 Recall: 0.24400 F1: 0.33356 F2: 0.27336 Total predictions: 14000 True positives: 488 False positives: 438 False negatives: 1512 True negatives: 11562 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86343 Precision: 0.54223 Recall: 0.28250 F1: 0.37147 F2: 0.31243 Total predictions: 14000 True positives: 565 False positives: 477 False negatives: 1435 True negatives: 11523 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'salary'] Accuracy: 0.84023 Precision: 0.46371 Recall: 0.24600 F1: 0.32146 F2: 0.27149 Total predictions: 13000 True positives: 492 False positives: 569 False negatives: 1508 True negatives: 10431 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'total_payments'] Accuracy: 0.85060 Precision: 0.37539 Recall: 0.18150 F1: 0.24469 F2: 0.20241 Total predictions: 15000 True positives: 363 False positives: 604 False negatives: 1637 True negatives: 12396 ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84046 Precision: 0.46760 Recall: 0.26700 F1: 0.33991 F2: 0.29206 Total predictions: 13000 True positives: 534 False positives: 608 False negatives: 1466 True negatives: 10392 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79883 Precision: 0.26949 Recall: 0.12100 F1: 0.16701 F2: 0.13599 Total predictions: 12000 True positives: 242 False positives: 656 False negatives: 1758 True negatives: 9344 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81508 Precision: 0.27704 Recall: 0.12550 F1: 0.17275 F2: 0.14092 Total predictions: 13000 True positives: 251 False positives: 655 False negatives: 1749 True negatives: 10345 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80625 Precision: 0.33055 Recall: 0.15850 F1: 0.21426 F2: 0.17692 Total predictions: 12000 True positives: 317 False positives: 642 False negatives: 1683 True negatives: 9358 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82446 Precision: 0.24549 Recall: 0.06800 F1: 0.10650 F2: 0.07949 Total predictions: 13000 True positives: 136 False positives: 418 False negatives: 1864 True negatives: 10582 ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84162 Precision: 0.47193 Recall: 0.24800 F1: 0.32514 F2: 0.27400 Total predictions: 13000 True positives: 496 False positives: 555 False negatives: 1504 True negatives: 10445 ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80300 Precision: 0.21523 Recall: 0.10600 F1: 0.14204 F2: 0.11797 Total predictions: 13000 True positives: 212 False positives: 773 False negatives: 1788 True negatives: 10227 ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79208 Precision: 0.22832 Recall: 0.10400 F1: 0.14291 F2: 0.11671 Total predictions: 12000 True positives: 208 False positives: 703 False negatives: 1792 True negatives: 9297 ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82762 Precision: 0.26692 Recall: 0.06900 F1: 0.10965 F2: 0.08101 Total predictions: 13000 True positives: 138 False positives: 379 False negatives: 1862 True negatives: 10621 ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84700 Precision: 0.50564 Recall: 0.24650 F1: 0.33143 F2: 0.27465 Total predictions: 13000 True positives: 493 False positives: 482 False negatives: 1507 True negatives: 10518 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'salary'] Accuracy: 0.81662 Precision: 0.29916 Recall: 0.14300 F1: 0.19350 F2: 0.15967 Total predictions: 13000 True positives: 286 False positives: 670 False negatives: 1714 True negatives: 10330 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'total_payments'] Accuracy: 0.82557 Precision: 0.20767 Recall: 0.07850 F1: 0.11393 F2: 0.08965 Total predictions: 14000 True positives: 157 False positives: 599 False negatives: 1843 True negatives: 11401 ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85829 Precision: 0.50722 Recall: 0.28100 F1: 0.36165 F2: 0.30852 Total predictions: 14000 True positives: 562 False positives: 546 False negatives: 1438 True negatives: 11454 ['poi', 'salary_bonus', 'deferral_payments', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'salary', 'total_payments'] Accuracy: 0.81654 Precision: 0.22382 Recall: 0.07800 F1: 0.11568 F2: 0.08969 Total predictions: 13000 True positives: 156 False positives: 541 False negatives: 1844 True negatives: 10459 ['poi', 'salary_bonus', 'deferral_payments', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'salary', 'exercised_stock_options'] Accuracy: 0.83362 Precision: 0.42447 Recall: 0.22900 F1: 0.29750 F2: 0.25223 Total predictions: 13000 True positives: 458 False positives: 621 False negatives: 1542 True negatives: 10379 ['poi', 'salary_bonus', 'deferral_payments', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferral_payments', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84800 Precision: 0.42541 Recall: 0.18250 F1: 0.25542 F2: 0.20603 Total predictions: 14000 True positives: 365 False positives: 493 False negatives: 1635 True negatives: 11507 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'long_term_incentive'] Accuracy: 0.85133 Precision: 0.59045 Recall: 0.35250 F1: 0.44145 F2: 0.38340 Total predictions: 12000 True positives: 705 False positives: 489 False negatives: 1295 True negatives: 9511 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.31258 Precision: 0.19514 Recall: 1.00000 F1: 0.32656 F2: 0.54798 Total predictions: 12000 True positives: 2000 False positives: 8249 False negatives: 0 True negatives: 1751 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.84192 Precision: 0.47836 Recall: 0.30400 F1: 0.37175 F2: 0.32790 Total predictions: 13000 True positives: 608 False positives: 663 False negatives: 1392 True negatives: 10337 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_messages'] Accuracy: 0.85146 Precision: 0.52835 Recall: 0.32150 F1: 0.39975 F2: 0.34881 Total predictions: 13000 True positives: 643 False positives: 574 False negatives: 1357 True negatives: 10426 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'other'] Accuracy: 0.83308 Precision: 0.49836 Recall: 0.22750 F1: 0.31239 F2: 0.25525 Total predictions: 12000 True positives: 455 False positives: 458 False negatives: 1545 True negatives: 9542 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'director_fees'] Accuracy: 0.30592 Precision: 0.19363 Recall: 1.00000 F1: 0.32444 F2: 0.54558 Total predictions: 12000 True positives: 2000 False positives: 8329 False negatives: 0 True negatives: 1671 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'resto_dirfees'] Accuracy: 0.20342 Precision: 0.17303 Recall: 1.00000 F1: 0.29501 F2: 0.51127 Total predictions: 12000 True positives: 2000 False positives: 9559 False negatives: 0 True negatives: 441 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'bonus'] Accuracy: 0.85092 Precision: 0.58340 Recall: 0.36900 F1: 0.45207 F2: 0.39827 Total predictions: 12000 True positives: 738 False positives: 527 False negatives: 1262 True negatives: 9473 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'total_stock_value'] Accuracy: 0.85493 Precision: 0.48927 Recall: 0.35350 F1: 0.41045 F2: 0.37427 Total predictions: 14000 True positives: 707 False positives: 738 False negatives: 1293 True negatives: 11262 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.84408 Precision: 0.56405 Recall: 0.28400 F1: 0.37779 F2: 0.31531 Total predictions: 12000 True positives: 568 False positives: 439 False negatives: 1432 True negatives: 9561 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.83508 Precision: 0.50942 Recall: 0.28400 F1: 0.36469 F2: 0.31157 Total predictions: 12000 True positives: 568 False positives: 547 False negatives: 1432 True negatives: 9453 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'restricted_stock'] Accuracy: 0.84757 Precision: 0.44708 Recall: 0.28300 F1: 0.34660 F2: 0.30542 Total predictions: 14000 True positives: 566 False positives: 700 False negatives: 1434 True negatives: 11300 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'salary'] Accuracy: 0.84167 Precision: 0.54195 Recall: 0.32300 F1: 0.40476 F2: 0.35139 Total predictions: 12000 True positives: 646 False positives: 546 False negatives: 1354 True negatives: 9454 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'total_payments'] Accuracy: 0.84608 Precision: 0.49940 Recall: 0.20650 F1: 0.29218 F2: 0.23394 Total predictions: 13000 True positives: 413 False positives: 414 False negatives: 1587 True negatives: 10586 ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86157 Precision: 0.52345 Recall: 0.34600 F1: 0.41662 F2: 0.37116 Total predictions: 14000 True positives: 692 False positives: 630 False negatives: 1308 True negatives: 11370 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.31200 Precision: 0.19501 Recall: 1.00000 F1: 0.32637 F2: 0.54777 Total predictions: 12000 True positives: 2000 False positives: 8256 False negatives: 0 True negatives: 1744 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.81608 Precision: 0.36006 Recall: 0.25150 F1: 0.29614 F2: 0.26764 Total predictions: 13000 True positives: 503 False positives: 894 False negatives: 1497 True negatives: 10106 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_messages'] Accuracy: 0.82646 Precision: 0.41099 Recall: 0.29550 F1: 0.34380 F2: 0.31310 Total predictions: 13000 True positives: 591 False positives: 847 False negatives: 1409 True negatives: 10153 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'other'] Accuracy: 0.79718 Precision: 0.35508 Recall: 0.14150 F1: 0.20236 F2: 0.16085 Total predictions: 11000 True positives: 283 False positives: 514 False negatives: 1717 True negatives: 8486 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'director_fees'] Accuracy: 0.30017 Precision: 0.19234 Recall: 1.00000 F1: 0.32263 F2: 0.54354 Total predictions: 12000 True positives: 2000 False positives: 8398 False negatives: 0 True negatives: 1602 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20592 Precision: 0.17348 Recall: 1.00000 F1: 0.29566 F2: 0.51206 Total predictions: 12000 True positives: 2000 False positives: 9529 False negatives: 0 True negatives: 471 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'bonus'] Accuracy: 0.79673 Precision: 0.39880 Recall: 0.23250 F1: 0.29375 F2: 0.25365 Total predictions: 11000 True positives: 465 False positives: 701 False negatives: 1535 True negatives: 8299 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.84521 Precision: 0.44285 Recall: 0.32350 F1: 0.37388 F2: 0.34193 Total predictions: 14000 True positives: 647 False positives: 814 False negatives: 1353 True negatives: 11186 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.82242 Precision: 0.43850 Recall: 0.23350 F1: 0.30473 F2: 0.25758 Total predictions: 12000 True positives: 467 False positives: 598 False negatives: 1533 True negatives: 9402 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.80525 Precision: 0.34779 Recall: 0.19250 F1: 0.24783 F2: 0.21138 Total predictions: 12000 True positives: 385 False positives: 722 False negatives: 1615 True negatives: 9278 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.82392 Precision: 0.38107 Recall: 0.23150 F1: 0.28802 F2: 0.25122 Total predictions: 13000 True positives: 463 False positives: 752 False negatives: 1537 True negatives: 10248 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'salary'] Accuracy: 0.80409 Precision: 0.42439 Recall: 0.21750 F1: 0.28760 F2: 0.24100 Total predictions: 11000 True positives: 435 False positives: 590 False negatives: 1565 True negatives: 8410 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'total_payments'] Accuracy: 0.82877 Precision: 0.35660 Recall: 0.14050 F1: 0.20158 F2: 0.15988 Total predictions: 13000 True positives: 281 False positives: 507 False negatives: 1719 True negatives: 10493 ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.85507 Precision: 0.48875 Recall: 0.31500 F1: 0.38310 F2: 0.33911 Total predictions: 14000 True positives: 630 False positives: 659 False negatives: 1370 True negatives: 11341 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.28285 Precision: 0.17663 Recall: 1.00000 F1: 0.30023 F2: 0.51752 Total predictions: 13000 True positives: 2000 False positives: 9323 False negatives: 0 True negatives: 1677 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.30269 Precision: 0.17487 Recall: 0.95000 F1: 0.29538 F2: 0.50358 Total predictions: 13000 True positives: 1900 False positives: 8965 False negatives: 100 True negatives: 2035 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'other'] Accuracy: 0.30508 Precision: 0.18522 Recall: 0.93250 F1: 0.30906 F2: 0.51608 Total predictions: 12000 True positives: 1865 False positives: 8204 False negatives: 135 True negatives: 1796 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.40692 Precision: 0.21937 Recall: 1.00000 F1: 0.35981 F2: 0.58421 Total predictions: 12000 True positives: 2000 False positives: 7117 False negatives: 0 True negatives: 2883 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31283 Precision: 0.19520 Recall: 1.00000 F1: 0.32664 F2: 0.54807 Total predictions: 12000 True positives: 2000 False positives: 8246 False negatives: 0 True negatives: 1754 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31308 Precision: 0.19526 Recall: 1.00000 F1: 0.32672 F2: 0.54816 Total predictions: 12000 True positives: 2000 False positives: 8243 False negatives: 0 True negatives: 1757 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.28831 Precision: 0.17775 Recall: 1.00000 F1: 0.30184 F2: 0.51943 Total predictions: 13000 True positives: 2000 False positives: 9252 False negatives: 0 True negatives: 1748 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.29500 Precision: 0.18432 Recall: 0.94300 F1: 0.30837 F2: 0.51722 Total predictions: 12000 True positives: 1886 False positives: 8346 False negatives: 114 True negatives: 1654 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28492 Precision: 0.17677 Recall: 0.99750 F1: 0.30032 F2: 0.51721 Total predictions: 13000 True positives: 1995 False positives: 9291 False negatives: 5 True negatives: 1709 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30892 Precision: 0.19377 Recall: 0.99550 F1: 0.32440 F2: 0.54473 Total predictions: 12000 True positives: 1991 False positives: 8284 False negatives: 9 True negatives: 1716 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27846 Precision: 0.17059 Recall: 0.95550 F1: 0.28950 F2: 0.49760 Total predictions: 13000 True positives: 1911 False positives: 9291 False negatives: 89 True negatives: 1709 ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26550 Precision: 0.16283 Recall: 1.00000 F1: 0.28005 F2: 0.49302 Total predictions: 14000 True positives: 2000 False positives: 10283 False negatives: 0 True negatives: 1717 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.81108 Precision: 0.31463 Recall: 0.19350 F1: 0.23963 F2: 0.20964 Total predictions: 13000 True positives: 387 False positives: 843 False negatives: 1613 True negatives: 10157 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'other'] Accuracy: 0.81054 Precision: 0.23901 Recall: 0.10600 F1: 0.14687 F2: 0.11928 Total predictions: 13000 True positives: 212 False positives: 675 False negatives: 1788 True negatives: 10325 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.18600 Precision: 0.15896 Recall: 1.00000 F1: 0.27431 F2: 0.48586 Total predictions: 13000 True positives: 2000 False positives: 10582 False negatives: 0 True negatives: 418 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.81969 Precision: 0.36583 Recall: 0.23450 F1: 0.28580 F2: 0.25264 Total predictions: 13000 True positives: 469 False positives: 813 False negatives: 1531 True negatives: 10187 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83829 Precision: 0.41304 Recall: 0.31350 F1: 0.35645 F2: 0.32938 Total predictions: 14000 True positives: 627 False positives: 891 False negatives: 1373 True negatives: 11109 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.82123 Precision: 0.36914 Recall: 0.22850 F1: 0.28227 F2: 0.24735 Total predictions: 13000 True positives: 457 False positives: 781 False negatives: 1543 True negatives: 10219 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.80608 Precision: 0.28310 Recall: 0.17000 F1: 0.21243 F2: 0.18476 Total predictions: 13000 True positives: 340 False positives: 861 False negatives: 1660 True negatives: 10139 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.81521 Precision: 0.28716 Recall: 0.19800 F1: 0.23439 F2: 0.21111 Total predictions: 14000 True positives: 396 False positives: 983 False negatives: 1604 True negatives: 11017 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.81200 Precision: 0.33531 Recall: 0.22600 F1: 0.27001 F2: 0.24176 Total predictions: 13000 True positives: 452 False positives: 896 False negatives: 1548 True negatives: 10104 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82500 Precision: 0.26514 Recall: 0.12700 F1: 0.17174 F2: 0.14177 Total predictions: 14000 True positives: 254 False positives: 704 False negatives: 1746 True negatives: 11296 ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84021 Precision: 0.41625 Recall: 0.29450 F1: 0.34495 F2: 0.31280 Total predictions: 14000 True positives: 589 False positives: 826 False negatives: 1411 True negatives: 11174 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'other'] Accuracy: 0.81031 Precision: 0.24563 Recall: 0.11250 F1: 0.15432 F2: 0.12618 Total predictions: 13000 True positives: 225 False positives: 691 False negatives: 1775 True negatives: 10309 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'director_fees'] Accuracy: 0.30131 Precision: 0.17458 Recall: 0.95000 F1: 0.29496 F2: 0.50310 Total predictions: 13000 True positives: 1900 False positives: 8983 False negatives: 100 True negatives: 2017 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'resto_dirfees'] Accuracy: 0.21100 Precision: 0.15559 Recall: 0.93250 F1: 0.26668 F2: 0.46655 Total predictions: 13000 True positives: 1865 False positives: 10122 False negatives: 135 True negatives: 878 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'bonus'] Accuracy: 0.82146 Precision: 0.35070 Recall: 0.18850 F1: 0.24520 F2: 0.20771 Total predictions: 13000 True positives: 377 False positives: 698 False negatives: 1623 True negatives: 10302 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'total_stock_value'] Accuracy: 0.86021 Precision: 0.51645 Recall: 0.33750 F1: 0.40822 F2: 0.36263 Total predictions: 14000 True positives: 675 False positives: 632 False negatives: 1325 True negatives: 11368 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.81515 Precision: 0.33166 Recall: 0.19850 F1: 0.24836 F2: 0.21583 Total predictions: 13000 True positives: 397 False positives: 800 False negatives: 1603 True negatives: 10200 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.80677 Precision: 0.31556 Recall: 0.21900 F1: 0.25856 F2: 0.23328 Total predictions: 13000 True positives: 438 False positives: 950 False negatives: 1562 True negatives: 10050 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'restricted_stock'] Accuracy: 0.82679 Precision: 0.29743 Recall: 0.15600 F1: 0.20466 F2: 0.17239 Total predictions: 14000 True positives: 312 False positives: 737 False negatives: 1688 True negatives: 11263 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'salary'] Accuracy: 0.81592 Precision: 0.33162 Recall: 0.19350 F1: 0.24440 F2: 0.21108 Total predictions: 13000 True positives: 387 False positives: 780 False negatives: 1613 True negatives: 10220 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'total_payments'] Accuracy: 0.83807 Precision: 0.31171 Recall: 0.11050 F1: 0.16316 F2: 0.12688 Total predictions: 14000 True positives: 221 False positives: 488 False negatives: 1779 True negatives: 11512 ['poi', 'salary_bonus', 'expenses', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_messages', 'exercised_stock_options'] Accuracy: 0.85757 Precision: 0.50227 Recall: 0.33150 F1: 0.39940 F2: 0.35569 Total predictions: 14000 True positives: 663 False positives: 657 False negatives: 1337 True negatives: 11343 ['poi', 'salary_bonus', 'expenses', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'director_fees'] Accuracy: 0.29517 Precision: 0.18368 Recall: 0.93750 F1: 0.30718 F2: 0.51488 Total predictions: 12000 True positives: 1875 False positives: 8333 False negatives: 125 True negatives: 1667 ['poi', 'salary_bonus', 'expenses', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'resto_dirfees'] Accuracy: 0.19850 Precision: 0.16576 Recall: 0.94450 F1: 0.28202 F2: 0.48696 Total predictions: 12000 True positives: 1889 False positives: 9507 False negatives: 111 True negatives: 493 ['poi', 'salary_bonus', 'expenses', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'bonus'] Accuracy: 0.80218 Precision: 0.38601 Recall: 0.14900 F1: 0.21501 F2: 0.16986 Total predictions: 11000 True positives: 298 False positives: 474 False negatives: 1702 True negatives: 8526 ['poi', 'salary_bonus', 'expenses', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'total_stock_value'] Accuracy: 0.84943 Precision: 0.45018 Recall: 0.24400 F1: 0.31647 F2: 0.26860 Total predictions: 14000 True positives: 488 False positives: 596 False negatives: 1512 True negatives: 11404 ['poi', 'salary_bonus', 'expenses', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'from_poi_to_this_person'] Accuracy: 0.81558 Precision: 0.34588 Recall: 0.11950 F1: 0.17763 F2: 0.13750 Total predictions: 12000 True positives: 239 False positives: 452 False negatives: 1761 True negatives: 9548 ['poi', 'salary_bonus', 'expenses', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'from_this_person_to_poi'] Accuracy: 0.80408 Precision: 0.28035 Recall: 0.11200 F1: 0.16006 F2: 0.12729 Total predictions: 12000 True positives: 224 False positives: 575 False negatives: 1776 True negatives: 9425 ['poi', 'salary_bonus', 'expenses', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'restricted_stock'] Accuracy: 0.81608 Precision: 0.27606 Recall: 0.12050 F1: 0.16777 F2: 0.13581 Total predictions: 13000 True positives: 241 False positives: 632 False negatives: 1759 True negatives: 10368 ['poi', 'salary_bonus', 'expenses', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'salary'] Accuracy: 0.80491 Precision: 0.37543 Recall: 0.11000 F1: 0.17015 F2: 0.12812 Total predictions: 11000 True positives: 220 False positives: 366 False negatives: 1780 True negatives: 8634 ['poi', 'salary_bonus', 'expenses', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'total_payments'] Accuracy: 0.82546 Precision: 0.32185 Recall: 0.12150 F1: 0.17641 F2: 0.13878 Total predictions: 13000 True positives: 243 False positives: 512 False negatives: 1757 True negatives: 10488 ['poi', 'salary_bonus', 'expenses', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'other', 'exercised_stock_options'] Accuracy: 0.85064 Precision: 0.45552 Recall: 0.23300 F1: 0.30830 F2: 0.25823 Total predictions: 14000 True positives: 466 False positives: 557 False negatives: 1534 True negatives: 11443 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'resto_dirfees'] Accuracy: 0.30517 Precision: 0.19346 Recall: 1.00000 F1: 0.32420 F2: 0.54532 Total predictions: 12000 True positives: 2000 False positives: 8338 False negatives: 0 True negatives: 1662 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'bonus'] Accuracy: 0.30558 Precision: 0.19355 Recall: 1.00000 F1: 0.32433 F2: 0.54546 Total predictions: 12000 True positives: 2000 False positives: 8333 False negatives: 0 True negatives: 1667 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'total_stock_value'] Accuracy: 0.43933 Precision: 0.19165 Recall: 0.99600 F1: 0.32145 F2: 0.54148 Total predictions: 15000 True positives: 1992 False positives: 8402 False negatives: 8 True negatives: 4598 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.28385 Precision: 0.17683 Recall: 1.00000 F1: 0.30053 F2: 0.51787 Total predictions: 13000 True positives: 2000 False positives: 9310 False negatives: 0 True negatives: 1690 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28115 Precision: 0.17136 Recall: 0.95750 F1: 0.29070 F2: 0.49935 Total predictions: 13000 True positives: 1915 False positives: 9260 False negatives: 85 True negatives: 1740 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'restricted_stock'] Accuracy: 0.26279 Precision: 0.16189 Recall: 0.99600 F1: 0.27850 F2: 0.49052 Total predictions: 14000 True positives: 1992 False positives: 10313 False negatives: 8 True negatives: 1687 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'salary'] Accuracy: 0.29858 Precision: 0.19134 Recall: 0.99450 F1: 0.32094 F2: 0.54064 Total predictions: 12000 True positives: 1989 False positives: 8406 False negatives: 11 True negatives: 1594 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'total_payments'] Accuracy: 0.56369 Precision: 0.20811 Recall: 0.65450 F1: 0.31580 F2: 0.45801 Total predictions: 13000 True positives: 1309 False positives: 4981 False negatives: 691 True negatives: 6019 ['poi', 'salary_bonus', 'expenses', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'director_fees', 'exercised_stock_options'] Accuracy: 0.33643 Precision: 0.17698 Recall: 0.99850 F1: 0.30066 F2: 0.51779 Total predictions: 14000 True positives: 1997 False positives: 9287 False negatives: 3 True negatives: 2713 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'bonus'] Accuracy: 0.21873 Precision: 0.18879 Recall: 1.00000 F1: 0.31761 F2: 0.53781 Total predictions: 11000 True positives: 2000 False positives: 8594 False negatives: 0 True negatives: 406 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21550 Precision: 0.15055 Recall: 0.96750 F1: 0.26055 F2: 0.46396 Total predictions: 14000 True positives: 1935 False positives: 10918 False negatives: 65 True negatives: 1082 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.20617 Precision: 0.17352 Recall: 1.00000 F1: 0.29573 F2: 0.51214 Total predictions: 12000 True positives: 2000 False positives: 9526 False negatives: 0 True negatives: 474 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19542 Precision: 0.16440 Recall: 0.93750 F1: 0.27975 F2: 0.48312 Total predictions: 12000 True positives: 1875 False positives: 9530 False negatives: 125 True negatives: 470 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18515 Precision: 0.15855 Recall: 0.99750 F1: 0.27361 F2: 0.48462 Total predictions: 13000 True positives: 1995 False positives: 10588 False negatives: 5 True negatives: 412 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'salary'] Accuracy: 0.20200 Precision: 0.17198 Recall: 0.99300 F1: 0.29318 F2: 0.50798 Total predictions: 12000 True positives: 1986 False positives: 9562 False negatives: 14 True negatives: 438 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'total_payments'] Accuracy: 0.22477 Precision: 0.15073 Recall: 0.87150 F1: 0.25700 F2: 0.44546 Total predictions: 13000 True positives: 1743 False positives: 9821 False negatives: 257 True negatives: 1179 ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21536 Precision: 0.15085 Recall: 0.97050 F1: 0.26112 F2: 0.46509 Total predictions: 14000 True positives: 1941 False positives: 10926 False negatives: 59 True negatives: 1074 ['poi', 'salary_bonus', 'expenses', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'total_stock_value'] Accuracy: 0.84971 Precision: 0.46438 Recall: 0.33900 F1: 0.39191 F2: 0.35835 Total predictions: 14000 True positives: 678 False positives: 782 False negatives: 1322 True negatives: 11218 ['poi', 'salary_bonus', 'expenses', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81258 Precision: 0.39494 Recall: 0.23400 F1: 0.29388 F2: 0.25476 Total predictions: 12000 True positives: 468 False positives: 717 False negatives: 1532 True negatives: 9283 ['poi', 'salary_bonus', 'expenses', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.80817 Precision: 0.35196 Recall: 0.17950 F1: 0.23775 F2: 0.19900 Total predictions: 12000 True positives: 359 False positives: 661 False negatives: 1641 True negatives: 9339 ['poi', 'salary_bonus', 'expenses', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'restricted_stock'] Accuracy: 0.81308 Precision: 0.33017 Recall: 0.20900 F1: 0.25597 F2: 0.22556 Total predictions: 13000 True positives: 418 False positives: 848 False negatives: 1582 True negatives: 10152 ['poi', 'salary_bonus', 'expenses', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'salary'] Accuracy: 0.80655 Precision: 0.43456 Recall: 0.21250 F1: 0.28543 F2: 0.23669 Total predictions: 11000 True positives: 425 False positives: 553 False negatives: 1575 True negatives: 8447 ['poi', 'salary_bonus', 'expenses', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'total_payments'] Accuracy: 0.82723 Precision: 0.37475 Recall: 0.18400 F1: 0.24681 F2: 0.20485 Total predictions: 13000 True positives: 368 False positives: 614 False negatives: 1632 True negatives: 10386 ['poi', 'salary_bonus', 'expenses', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'bonus', 'exercised_stock_options'] Accuracy: 0.85021 Precision: 0.46558 Recall: 0.32800 F1: 0.38486 F2: 0.34860 Total predictions: 14000 True positives: 656 False positives: 753 False negatives: 1344 True negatives: 11247 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85671 Precision: 0.49753 Recall: 0.30250 F1: 0.37624 F2: 0.32823 Total predictions: 14000 True positives: 605 False positives: 611 False negatives: 1395 True negatives: 11389 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85529 Precision: 0.48934 Recall: 0.29850 F1: 0.37081 F2: 0.32375 Total predictions: 14000 True positives: 597 False positives: 623 False negatives: 1403 True negatives: 11377 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85879 Precision: 0.50855 Recall: 0.34200 F1: 0.40897 F2: 0.36597 Total predictions: 14000 True positives: 684 False positives: 661 False negatives: 1316 True negatives: 11339 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'salary'] Accuracy: 0.84914 Precision: 0.45632 Recall: 0.29250 F1: 0.35649 F2: 0.31513 Total predictions: 14000 True positives: 585 False positives: 697 False negatives: 1415 True negatives: 11303 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'total_payments'] Accuracy: 0.85660 Precision: 0.43041 Recall: 0.23350 F1: 0.30276 F2: 0.25702 Total predictions: 15000 True positives: 467 False positives: 618 False negatives: 1533 True negatives: 12382 ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85507 Precision: 0.48933 Recall: 0.33250 F1: 0.39595 F2: 0.35527 Total predictions: 14000 True positives: 665 False positives: 694 False negatives: 1335 True negatives: 11306 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.80667 Precision: 0.34221 Recall: 0.17350 F1: 0.23026 F2: 0.19248 Total predictions: 12000 True positives: 347 False positives: 667 False negatives: 1653 True negatives: 9333 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82600 Precision: 0.36633 Recall: 0.17950 F1: 0.24094 F2: 0.19989 Total predictions: 13000 True positives: 359 False positives: 621 False negatives: 1641 True negatives: 10379 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'salary'] Accuracy: 0.82233 Precision: 0.43439 Recall: 0.21850 F1: 0.29075 F2: 0.24262 Total predictions: 12000 True positives: 437 False positives: 569 False negatives: 1563 True negatives: 9431 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83169 Precision: 0.36053 Recall: 0.12150 F1: 0.18175 F2: 0.14007 Total predictions: 13000 True positives: 243 False positives: 431 False negatives: 1757 True negatives: 10569 ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85379 Precision: 0.48043 Recall: 0.28850 F1: 0.36051 F2: 0.31355 Total predictions: 14000 True positives: 577 False positives: 624 False negatives: 1423 True negatives: 11376 ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80815 Precision: 0.27748 Recall: 0.15400 F1: 0.19807 F2: 0.16905 Total predictions: 13000 True positives: 308 False positives: 802 False negatives: 1692 True negatives: 10198 ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80508 Precision: 0.32362 Recall: 0.15550 F1: 0.21006 F2: 0.17353 Total predictions: 12000 True positives: 311 False positives: 650 False negatives: 1689 True negatives: 9350 ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83346 Precision: 0.37885 Recall: 0.12900 F1: 0.19247 F2: 0.14860 Total predictions: 13000 True positives: 258 False positives: 423 False negatives: 1742 True negatives: 10577 ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85693 Precision: 0.49868 Recall: 0.28350 F1: 0.36149 F2: 0.31028 Total predictions: 14000 True positives: 567 False positives: 570 False negatives: 1433 True negatives: 11430 ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'salary'] Accuracy: 0.82115 Precision: 0.34742 Recall: 0.18500 F1: 0.24144 F2: 0.20408 Total predictions: 13000 True positives: 370 False positives: 695 False negatives: 1630 True negatives: 10305 ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'total_payments'] Accuracy: 0.83129 Precision: 0.29799 Recall: 0.13350 F1: 0.18439 F2: 0.15007 Total predictions: 14000 True positives: 267 False positives: 629 False negatives: 1733 True negatives: 11371 ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85793 Precision: 0.50404 Recall: 0.34300 F1: 0.40821 F2: 0.36641 Total predictions: 14000 True positives: 686 False positives: 675 False negatives: 1314 True negatives: 11325 ['poi', 'salary_bonus', 'expenses', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'salary', 'total_payments'] Accuracy: 0.82938 Precision: 0.35349 Recall: 0.13150 F1: 0.19169 F2: 0.15039 Total predictions: 13000 True positives: 263 False positives: 481 False negatives: 1737 True negatives: 10519 ['poi', 'salary_bonus', 'expenses', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'salary', 'exercised_stock_options'] Accuracy: 0.85479 Precision: 0.48646 Recall: 0.29650 F1: 0.36844 F2: 0.32162 Total predictions: 14000 True positives: 593 False positives: 626 False negatives: 1407 True negatives: 11374 ['poi', 'salary_bonus', 'expenses', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'expenses', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85500 Precision: 0.48466 Recall: 0.23700 F1: 0.31833 F2: 0.26398 Total predictions: 14000 True positives: 474 False positives: 504 False negatives: 1526 True negatives: 11496 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.32827 Precision: 0.21302 Recall: 1.00000 F1: 0.35122 F2: 0.57508 Total predictions: 11000 True positives: 2000 False positives: 7389 False negatives: 0 True negatives: 1611 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.84308 Precision: 0.48705 Recall: 0.37600 F1: 0.42438 F2: 0.39396 Total predictions: 13000 True positives: 752 False positives: 792 False negatives: 1248 True negatives: 10208 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_messages'] Accuracy: 0.85100 Precision: 0.52258 Recall: 0.36450 F1: 0.42946 F2: 0.38797 Total predictions: 13000 True positives: 729 False positives: 666 False negatives: 1271 True negatives: 10334 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'other'] Accuracy: 0.81191 Precision: 0.46581 Recall: 0.23500 F1: 0.31240 F2: 0.26085 Total predictions: 11000 True positives: 470 False positives: 539 False negatives: 1530 True negatives: 8461 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'director_fees'] Accuracy: 0.32591 Precision: 0.21243 Recall: 1.00000 F1: 0.35042 F2: 0.57422 Total predictions: 11000 True positives: 2000 False positives: 7415 False negatives: 0 True negatives: 1585 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.21882 Precision: 0.18880 Recall: 1.00000 F1: 0.31764 F2: 0.53784 Total predictions: 11000 True positives: 2000 False positives: 8593 False negatives: 0 True negatives: 407 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'bonus'] Accuracy: 0.83773 Precision: 0.57739 Recall: 0.40100 F1: 0.47330 F2: 0.42710 Total predictions: 11000 True positives: 802 False positives: 587 False negatives: 1198 True negatives: 8413 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.85543 Precision: 0.49220 Recall: 0.37850 F1: 0.42793 F2: 0.39683 Total predictions: 14000 True positives: 757 False positives: 781 False negatives: 1243 True negatives: 11219 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.85158 Precision: 0.58430 Recall: 0.37950 F1: 0.46014 F2: 0.40811 Total predictions: 12000 True positives: 759 False positives: 540 False negatives: 1241 True negatives: 9460 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.83325 Precision: 0.49965 Recall: 0.36050 F1: 0.41882 F2: 0.38176 Total predictions: 12000 True positives: 721 False positives: 722 False negatives: 1279 True negatives: 9278 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.84731 Precision: 0.50532 Recall: 0.35600 F1: 0.41772 F2: 0.37836 Total predictions: 13000 True positives: 712 False positives: 697 False negatives: 1288 True negatives: 10303 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'salary'] Accuracy: 0.83245 Precision: 0.56398 Recall: 0.34600 F1: 0.42888 F2: 0.37499 Total predictions: 11000 True positives: 692 False positives: 535 False negatives: 1308 True negatives: 8465 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'total_payments'] Accuracy: 0.83631 Precision: 0.43561 Recall: 0.21650 F1: 0.28925 F2: 0.24072 Total predictions: 13000 True positives: 433 False positives: 561 False negatives: 1567 True negatives: 10439 ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.85779 Precision: 0.50307 Recall: 0.36900 F1: 0.42573 F2: 0.38978 Total predictions: 14000 True positives: 738 False positives: 729 False negatives: 1262 True negatives: 11271 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.28131 Precision: 0.17632 Recall: 1.00000 F1: 0.29978 F2: 0.51698 Total predictions: 13000 True positives: 2000 False positives: 9343 False negatives: 0 True negatives: 1657 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.29977 Precision: 0.17137 Recall: 0.92600 F1: 0.28922 F2: 0.49237 Total predictions: 13000 True positives: 1852 False positives: 8955 False negatives: 148 True negatives: 2045 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'other'] Accuracy: 0.31608 Precision: 0.18875 Recall: 0.94100 F1: 0.31443 F2: 0.52362 Total predictions: 12000 True positives: 1882 False positives: 8089 False negatives: 118 True negatives: 1911 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.44945 Precision: 0.24826 Recall: 1.00000 F1: 0.39777 F2: 0.62282 Total predictions: 11000 True positives: 2000 False positives: 6056 False negatives: 0 True negatives: 2944 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.34491 Precision: 0.21725 Recall: 1.00000 F1: 0.35695 F2: 0.58119 Total predictions: 11000 True positives: 2000 False positives: 7206 False negatives: 0 True negatives: 1794 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.34491 Precision: 0.21725 Recall: 1.00000 F1: 0.35695 F2: 0.58119 Total predictions: 11000 True positives: 2000 False positives: 7206 False negatives: 0 True negatives: 1794 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26121 Precision: 0.16204 Recall: 1.00000 F1: 0.27888 F2: 0.49157 Total predictions: 14000 True positives: 2000 False positives: 10343 False negatives: 0 True negatives: 1657 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.30417 Precision: 0.19324 Recall: 1.00000 F1: 0.32389 F2: 0.54496 Total predictions: 12000 True positives: 2000 False positives: 8350 False negatives: 0 True negatives: 1650 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30367 Precision: 0.18572 Recall: 0.93900 F1: 0.31011 F2: 0.51844 Total predictions: 12000 True positives: 1878 False positives: 8234 False negatives: 122 True negatives: 1766 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28531 Precision: 0.17633 Recall: 0.99300 F1: 0.29948 F2: 0.51550 Total predictions: 13000 True positives: 1986 False positives: 9277 False negatives: 14 True negatives: 1723 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30842 Precision: 0.19384 Recall: 0.99700 F1: 0.32457 F2: 0.54520 Total predictions: 12000 True positives: 1994 False positives: 8293 False negatives: 6 True negatives: 1707 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27862 Precision: 0.16944 Recall: 0.94550 F1: 0.28739 F2: 0.49348 Total predictions: 13000 True positives: 1891 False positives: 9269 False negatives: 109 True negatives: 1731 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26614 Precision: 0.16295 Recall: 1.00000 F1: 0.28023 F2: 0.49324 Total predictions: 14000 True positives: 2000 False positives: 10274 False negatives: 0 True negatives: 1726 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.83908 Precision: 0.52668 Recall: 0.34050 F1: 0.41360 F2: 0.36640 Total predictions: 12000 True positives: 681 False positives: 612 False negatives: 1319 True negatives: 9388 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'other'] Accuracy: 0.82731 Precision: 0.38541 Recall: 0.20600 F1: 0.26849 F2: 0.22715 Total predictions: 13000 True positives: 412 False positives: 657 False negatives: 1588 True negatives: 10343 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.28531 Precision: 0.17713 Recall: 1.00000 F1: 0.30096 F2: 0.51838 Total predictions: 13000 True positives: 2000 False positives: 9291 False negatives: 0 True negatives: 1709 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.19658 Precision: 0.17181 Recall: 1.00000 F1: 0.29323 F2: 0.50914 Total predictions: 12000 True positives: 2000 False positives: 9641 False negatives: 0 True negatives: 359 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.84775 Precision: 0.56255 Recall: 0.38900 F1: 0.45995 F2: 0.41458 Total predictions: 12000 True positives: 778 False positives: 605 False negatives: 1222 True negatives: 9395 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84036 Precision: 0.42751 Recall: 0.34650 F1: 0.38277 F2: 0.36015 Total predictions: 14000 True positives: 693 False positives: 928 False negatives: 1307 True negatives: 11072 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.83767 Precision: 0.52009 Recall: 0.33650 F1: 0.40862 F2: 0.36206 Total predictions: 12000 True positives: 673 False positives: 621 False negatives: 1327 True negatives: 9379 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.82858 Precision: 0.47939 Recall: 0.33150 F1: 0.39196 F2: 0.35330 Total predictions: 12000 True positives: 663 False positives: 720 False negatives: 1337 True negatives: 9280 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.82362 Precision: 0.40468 Recall: 0.31100 F1: 0.35171 F2: 0.32610 Total predictions: 13000 True positives: 622 False positives: 915 False negatives: 1378 True negatives: 10085 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83738 Precision: 0.45615 Recall: 0.29650 F1: 0.35939 F2: 0.31882 Total predictions: 13000 True positives: 593 False positives: 707 False negatives: 1407 True negatives: 10293 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.84621 Precision: 0.42721 Recall: 0.22450 F1: 0.29433 F2: 0.24804 Total predictions: 14000 True positives: 449 False positives: 602 False negatives: 1551 True negatives: 11398 ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84557 Precision: 0.44685 Recall: 0.34050 F1: 0.38649 F2: 0.35752 Total predictions: 14000 True positives: 681 False positives: 843 False negatives: 1319 True negatives: 11157 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'other'] Accuracy: 0.83331 Precision: 0.41675 Recall: 0.20900 F1: 0.27839 F2: 0.23214 Total predictions: 13000 True positives: 418 False positives: 585 False negatives: 1582 True negatives: 10415 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'director_fees'] Accuracy: 0.31377 Precision: 0.17541 Recall: 0.93500 F1: 0.29540 F2: 0.50104 Total predictions: 13000 True positives: 1870 False positives: 8791 False negatives: 130 True negatives: 2209 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'resto_dirfees'] Accuracy: 0.22025 Precision: 0.16839 Recall: 0.93400 F1: 0.28534 F2: 0.48918 Total predictions: 12000 True positives: 1868 False positives: 9225 False negatives: 132 True negatives: 775 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'bonus'] Accuracy: 0.84158 Precision: 0.53852 Recall: 0.34600 F1: 0.42131 F2: 0.37264 Total predictions: 12000 True positives: 692 False positives: 593 False negatives: 1308 True negatives: 9407 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'total_stock_value'] Accuracy: 0.85421 Precision: 0.48603 Recall: 0.35650 F1: 0.41131 F2: 0.37657 Total predictions: 14000 True positives: 713 False positives: 754 False negatives: 1287 True negatives: 11246 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.84900 Precision: 0.57860 Recall: 0.34600 F1: 0.43304 F2: 0.37625 Total predictions: 12000 True positives: 692 False positives: 504 False negatives: 1308 True negatives: 9496 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.85375 Precision: 0.60928 Recall: 0.34150 F1: 0.43768 F2: 0.37441 Total predictions: 12000 True positives: 683 False positives: 438 False negatives: 1317 True negatives: 9562 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'restricted_stock'] Accuracy: 0.84062 Precision: 0.47329 Recall: 0.31900 F1: 0.38112 F2: 0.34125 Total predictions: 13000 True positives: 638 False positives: 710 False negatives: 1362 True negatives: 10290 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'salary'] Accuracy: 0.84792 Precision: 0.50856 Recall: 0.34150 F1: 0.40862 F2: 0.36551 Total predictions: 13000 True positives: 683 False positives: 660 False negatives: 1317 True negatives: 10340 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'total_payments'] Accuracy: 0.85329 Precision: 0.47176 Recall: 0.22550 F1: 0.30514 F2: 0.25179 Total predictions: 14000 True positives: 451 False positives: 505 False negatives: 1549 True negatives: 11495 ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_messages', 'exercised_stock_options'] Accuracy: 0.85943 Precision: 0.51159 Recall: 0.35300 F1: 0.41775 F2: 0.37633 Total predictions: 14000 True positives: 706 False positives: 674 False negatives: 1294 True negatives: 11326 ['poi', 'salary_bonus', 'deferred_income', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'director_fees'] Accuracy: 0.31755 Precision: 0.20100 Recall: 0.92550 F1: 0.33027 F2: 0.53780 Total predictions: 11000 True positives: 1851 False positives: 7358 False negatives: 149 True negatives: 1642 ['poi', 'salary_bonus', 'deferred_income', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'resto_dirfees'] Accuracy: 0.21164 Precision: 0.17960 Recall: 0.93500 F1: 0.30132 F2: 0.50782 Total predictions: 11000 True positives: 1870 False positives: 8542 False negatives: 130 True negatives: 458 ['poi', 'salary_bonus', 'deferred_income', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'bonus'] Accuracy: 0.81973 Precision: 0.50945 Recall: 0.22900 F1: 0.31597 F2: 0.25733 Total predictions: 11000 True positives: 458 False positives: 441 False negatives: 1542 True negatives: 8559 ['poi', 'salary_bonus', 'deferred_income', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'total_stock_value'] Accuracy: 0.85179 Precision: 0.46851 Recall: 0.27900 F1: 0.34973 F2: 0.30356 Total predictions: 14000 True positives: 558 False positives: 633 False negatives: 1442 True negatives: 11367 ['poi', 'salary_bonus', 'deferred_income', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'from_poi_to_this_person'] Accuracy: 0.82975 Precision: 0.47681 Recall: 0.22100 F1: 0.30202 F2: 0.24756 Total predictions: 12000 True positives: 442 False positives: 485 False negatives: 1558 True negatives: 9515 ['poi', 'salary_bonus', 'deferred_income', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'from_this_person_to_poi'] Accuracy: 0.81742 Precision: 0.41357 Recall: 0.22850 F1: 0.29436 F2: 0.25096 Total predictions: 12000 True positives: 457 False positives: 648 False negatives: 1543 True negatives: 9352 ['poi', 'salary_bonus', 'deferred_income', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'restricted_stock'] Accuracy: 0.83615 Precision: 0.43970 Recall: 0.23700 F1: 0.30799 F2: 0.26107 Total predictions: 13000 True positives: 474 False positives: 604 False negatives: 1526 True negatives: 10396 ['poi', 'salary_bonus', 'deferred_income', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'salary'] Accuracy: 0.81509 Precision: 0.48090 Recall: 0.21400 F1: 0.29619 F2: 0.24072 Total predictions: 11000 True positives: 428 False positives: 462 False negatives: 1572 True negatives: 8538 ['poi', 'salary_bonus', 'deferred_income', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'total_payments'] Accuracy: 0.83215 Precision: 0.40733 Recall: 0.20000 F1: 0.26828 F2: 0.22267 Total predictions: 13000 True positives: 400 False positives: 582 False negatives: 1600 True negatives: 10418 ['poi', 'salary_bonus', 'deferred_income', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'other', 'exercised_stock_options'] Accuracy: 0.85107 Precision: 0.46485 Recall: 0.28100 F1: 0.35026 F2: 0.30514 Total predictions: 14000 True positives: 562 False positives: 647 False negatives: 1438 True negatives: 11353 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'resto_dirfees'] Accuracy: 0.35000 Precision: 0.23529 Recall: 1.00000 F1: 0.38095 F2: 0.60606 Total predictions: 10000 True positives: 2000 False positives: 6500 False negatives: 0 True negatives: 1500 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'bonus'] Accuracy: 0.35000 Precision: 0.23529 Recall: 1.00000 F1: 0.38095 F2: 0.60606 Total predictions: 10000 True positives: 2000 False positives: 6500 False negatives: 0 True negatives: 1500 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'total_stock_value'] Accuracy: 0.58350 Precision: 0.21860 Recall: 0.74400 F1: 0.33791 F2: 0.50247 Total predictions: 14000 True positives: 1488 False positives: 5319 False negatives: 512 True negatives: 6681 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29658 Precision: 0.19155 Recall: 1.00000 F1: 0.32152 F2: 0.54227 Total predictions: 12000 True positives: 2000 False positives: 8441 False negatives: 0 True negatives: 1559 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29733 Precision: 0.18390 Recall: 0.93550 F1: 0.30738 F2: 0.51475 Total predictions: 12000 True positives: 1871 False positives: 8303 False negatives: 129 True negatives: 1697 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'restricted_stock'] Accuracy: 0.27969 Precision: 0.17502 Recall: 0.99150 F1: 0.29752 F2: 0.51293 Total predictions: 13000 True positives: 1983 False positives: 9347 False negatives: 17 True negatives: 1653 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'salary'] Accuracy: 0.32427 Precision: 0.21116 Recall: 0.99300 F1: 0.34827 F2: 0.57053 Total predictions: 11000 True positives: 1986 False positives: 7419 False negatives: 14 True negatives: 1581 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'total_payments'] Accuracy: 0.72646 Precision: 0.23963 Recall: 0.35800 F1: 0.28709 F2: 0.32581 Total predictions: 13000 True positives: 716 False positives: 2272 False negatives: 1284 True negatives: 8728 ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'director_fees', 'exercised_stock_options'] Accuracy: 0.43071 Precision: 0.18326 Recall: 0.86350 F1: 0.30235 F2: 0.49558 Total predictions: 14000 True positives: 1727 False positives: 7697 False negatives: 273 True negatives: 4303 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'bonus'] Accuracy: 0.23870 Precision: 0.20805 Recall: 1.00000 F1: 0.34444 F2: 0.56776 Total predictions: 10000 True positives: 2000 False positives: 7613 False negatives: 0 True negatives: 387 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22836 Precision: 0.15159 Recall: 0.95750 F1: 0.26174 F2: 0.46406 Total predictions: 14000 True positives: 1915 False positives: 10718 False negatives: 85 True negatives: 1282 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.20175 Precision: 0.17273 Recall: 1.00000 F1: 0.29457 F2: 0.51075 Total predictions: 12000 True positives: 2000 False positives: 9579 False negatives: 0 True negatives: 421 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20782 Precision: 0.17968 Recall: 0.94150 F1: 0.30176 F2: 0.50947 Total predictions: 11000 True positives: 1883 False positives: 8597 False negatives: 117 True negatives: 403 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18669 Precision: 0.15798 Recall: 0.99000 F1: 0.27248 F2: 0.48215 Total predictions: 13000 True positives: 1980 False positives: 10553 False negatives: 20 True negatives: 447 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'salary'] Accuracy: 0.21545 Precision: 0.18703 Recall: 0.99050 F1: 0.31464 F2: 0.53276 Total predictions: 11000 True positives: 1981 False positives: 8611 False negatives: 19 True negatives: 389 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'total_payments'] Accuracy: 0.23369 Precision: 0.15352 Recall: 0.88200 F1: 0.26153 F2: 0.45254 Total predictions: 13000 True positives: 1764 False positives: 9726 False negatives: 236 True negatives: 1274 ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22443 Precision: 0.15065 Recall: 0.95500 F1: 0.26025 F2: 0.46184 Total predictions: 14000 True positives: 1910 False positives: 10768 False negatives: 90 True negatives: 1232 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'total_stock_value'] Accuracy: 0.84729 Precision: 0.45537 Recall: 0.35200 F1: 0.39707 F2: 0.36874 Total predictions: 14000 True positives: 704 False positives: 842 False negatives: 1296 True negatives: 11158 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.84792 Precision: 0.56486 Recall: 0.38100 F1: 0.45506 F2: 0.40753 Total predictions: 12000 True positives: 762 False positives: 587 False negatives: 1238 True negatives: 9413 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.81536 Precision: 0.48798 Recall: 0.31450 F1: 0.38249 F2: 0.33857 Total predictions: 11000 True positives: 629 False positives: 660 False negatives: 1371 True negatives: 8340 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'restricted_stock'] Accuracy: 0.84131 Precision: 0.47829 Recall: 0.34700 F1: 0.40220 F2: 0.36716 Total predictions: 13000 True positives: 694 False positives: 757 False negatives: 1306 True negatives: 10243 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'salary'] Accuracy: 0.82909 Precision: 0.55445 Recall: 0.30550 F1: 0.39394 F2: 0.33564 Total predictions: 11000 True positives: 611 False positives: 491 False negatives: 1389 True negatives: 8509 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'total_payments'] Accuracy: 0.84269 Precision: 0.47514 Recall: 0.21500 F1: 0.29604 F2: 0.24144 Total predictions: 13000 True positives: 430 False positives: 475 False negatives: 1570 True negatives: 10525 ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'bonus', 'exercised_stock_options'] Accuracy: 0.85129 Precision: 0.47169 Recall: 0.34150 F1: 0.39617 F2: 0.36145 Total predictions: 14000 True positives: 683 False positives: 765 False negatives: 1317 True negatives: 11235 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85586 Precision: 0.49354 Recall: 0.34400 F1: 0.40542 F2: 0.36619 Total predictions: 14000 True positives: 688 False positives: 706 False negatives: 1312 True negatives: 11294 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85593 Precision: 0.49400 Recall: 0.35000 F1: 0.40972 F2: 0.37167 Total predictions: 14000 True positives: 700 False positives: 717 False negatives: 1300 True negatives: 11283 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85679 Precision: 0.49819 Recall: 0.34450 F1: 0.40733 F2: 0.36715 Total predictions: 14000 True positives: 689 False positives: 694 False negatives: 1311 True negatives: 11306 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'salary'] Accuracy: 0.84471 Precision: 0.44430 Recall: 0.34700 F1: 0.38967 F2: 0.36289 Total predictions: 14000 True positives: 694 False positives: 868 False negatives: 1306 True negatives: 11132 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'total_payments'] Accuracy: 0.85453 Precision: 0.43269 Recall: 0.29250 F1: 0.34905 F2: 0.31277 Total predictions: 15000 True positives: 585 False positives: 767 False negatives: 1415 True negatives: 12233 ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85657 Precision: 0.49742 Recall: 0.38550 F1: 0.43437 F2: 0.40366 Total predictions: 14000 True positives: 771 False positives: 779 False negatives: 1229 True negatives: 11221 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.83583 Precision: 0.51234 Recall: 0.31150 F1: 0.38744 F2: 0.33800 Total predictions: 12000 True positives: 623 False positives: 593 False negatives: 1377 True negatives: 9407 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84400 Precision: 0.48903 Recall: 0.31200 F1: 0.38095 F2: 0.33635 Total predictions: 13000 True positives: 624 False positives: 652 False negatives: 1376 True negatives: 10348 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84383 Precision: 0.55507 Recall: 0.31750 F1: 0.40394 F2: 0.34722 Total predictions: 12000 True positives: 635 False positives: 509 False negatives: 1365 True negatives: 9491 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85800 Precision: 0.50674 Recall: 0.22550 F1: 0.31211 F2: 0.25366 Total predictions: 14000 True positives: 451 False positives: 439 False negatives: 1549 True negatives: 11561 ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86143 Precision: 0.52297 Recall: 0.34150 F1: 0.41319 F2: 0.36697 Total predictions: 14000 True positives: 683 False positives: 623 False negatives: 1317 True negatives: 11377 ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.83592 Precision: 0.45164 Recall: 0.31050 F1: 0.36800 F2: 0.33120 Total predictions: 13000 True positives: 621 False positives: 754 False negatives: 1379 True negatives: 10246 ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83925 Precision: 0.53037 Recall: 0.31000 F1: 0.39129 F2: 0.33810 Total predictions: 12000 True positives: 620 False positives: 549 False negatives: 1380 True negatives: 9451 ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85393 Precision: 0.47546 Recall: 0.21800 F1: 0.29894 F2: 0.24448 Total predictions: 14000 True positives: 436 False positives: 481 False negatives: 1564 True negatives: 11519 ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86107 Precision: 0.52066 Recall: 0.34650 F1: 0.41609 F2: 0.37134 Total predictions: 14000 True positives: 693 False positives: 638 False negatives: 1307 True negatives: 11362 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'salary'] Accuracy: 0.84331 Precision: 0.48567 Recall: 0.31350 F1: 0.38104 F2: 0.33742 Total predictions: 13000 True positives: 627 False positives: 664 False negatives: 1373 True negatives: 10336 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'total_payments'] Accuracy: 0.83443 Precision: 0.37073 Recall: 0.22800 F1: 0.28235 F2: 0.24702 Total predictions: 14000 True positives: 456 False positives: 774 False negatives: 1544 True negatives: 11226 ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85229 Precision: 0.47652 Recall: 0.34500 F1: 0.40023 F2: 0.36516 Total predictions: 14000 True positives: 690 False positives: 758 False negatives: 1310 True negatives: 11242 ['poi', 'salary_bonus', 'deferred_income', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'salary', 'total_payments'] Accuracy: 0.84423 Precision: 0.48535 Recall: 0.20700 F1: 0.29022 F2: 0.23382 Total predictions: 13000 True positives: 414 False positives: 439 False negatives: 1586 True negatives: 10561 ['poi', 'salary_bonus', 'deferred_income', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'salary', 'exercised_stock_options'] Accuracy: 0.86200 Precision: 0.52519 Recall: 0.35450 F1: 0.42328 F2: 0.37914 Total predictions: 14000 True positives: 709 False positives: 641 False negatives: 1291 True negatives: 11359 ['poi', 'salary_bonus', 'deferred_income', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'deferred_income', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84893 Precision: 0.45359 Recall: 0.28100 F1: 0.34702 F2: 0.30415 Total predictions: 14000 True positives: 562 False positives: 677 False negatives: 1438 True negatives: 11323 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.30683 Precision: 0.19384 Recall: 1.00000 F1: 0.32473 F2: 0.54591 Total predictions: 12000 True positives: 2000 False positives: 8318 False negatives: 0 True negatives: 1682 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.32625 Precision: 0.19014 Recall: 0.93350 F1: 0.31593 F2: 0.52388 Total predictions: 12000 True positives: 1867 False positives: 7952 False negatives: 133 True negatives: 2048 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.34655 Precision: 0.21101 Recall: 0.94700 F1: 0.34512 F2: 0.55785 Total predictions: 11000 True positives: 1894 False positives: 7082 False negatives: 106 True negatives: 1918 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.44491 Precision: 0.24673 Recall: 1.00000 F1: 0.39580 F2: 0.62089 Total predictions: 11000 True positives: 2000 False positives: 6106 False negatives: 0 True negatives: 2894 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.36320 Precision: 0.23901 Recall: 1.00000 F1: 0.38580 F2: 0.61095 Total predictions: 10000 True positives: 2000 False positives: 6368 False negatives: 0 True negatives: 1632 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.36320 Precision: 0.23901 Recall: 1.00000 F1: 0.38580 F2: 0.61095 Total predictions: 10000 True positives: 2000 False positives: 6368 False negatives: 0 True negatives: 1632 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.31600 Precision: 0.19592 Recall: 1.00000 F1: 0.32765 F2: 0.54921 Total predictions: 12000 True positives: 2000 False positives: 8208 False negatives: 0 True negatives: 1792 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.32127 Precision: 0.20339 Recall: 0.93700 F1: 0.33423 F2: 0.54432 Total predictions: 11000 True positives: 1874 False positives: 7340 False negatives: 126 True negatives: 1660 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.30908 Precision: 0.19405 Recall: 0.99750 F1: 0.32489 F2: 0.54565 Total predictions: 12000 True positives: 1995 False positives: 8286 False negatives: 5 True negatives: 1714 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.34727 Precision: 0.21713 Recall: 0.99400 F1: 0.35640 F2: 0.57939 Total predictions: 11000 True positives: 1988 False positives: 7168 False negatives: 12 True negatives: 1832 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27769 Precision: 0.17044 Recall: 0.95550 F1: 0.28928 F2: 0.49735 Total predictions: 13000 True positives: 1911 False positives: 9301 False negatives: 89 True negatives: 1699 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28477 Precision: 0.17702 Recall: 1.00000 F1: 0.30080 F2: 0.51819 Total predictions: 13000 True positives: 2000 False positives: 9298 False negatives: 0 True negatives: 1702 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.77791 Precision: 0.31245 Recall: 0.18450 F1: 0.23200 F2: 0.20096 Total predictions: 11000 True positives: 369 False positives: 812 False negatives: 1631 True negatives: 8188 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78308 Precision: 0.19880 Recall: 0.09950 F1: 0.13262 F2: 0.11054 Total predictions: 12000 True positives: 199 False positives: 802 False negatives: 1801 True negatives: 9198 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.28077 Precision: 0.17621 Recall: 1.00000 F1: 0.29963 F2: 0.51680 Total predictions: 13000 True positives: 2000 False positives: 9350 False negatives: 0 True negatives: 1650 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.19900 Precision: 0.17224 Recall: 1.00000 F1: 0.29386 F2: 0.50989 Total predictions: 12000 True positives: 2000 False positives: 9612 False negatives: 0 True negatives: 388 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.79564 Precision: 0.39984 Recall: 0.24750 F1: 0.30574 F2: 0.26792 Total predictions: 11000 True positives: 495 False positives: 743 False negatives: 1505 True negatives: 8257 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.82786 Precision: 0.36926 Recall: 0.28950 F1: 0.32455 F2: 0.30257 Total predictions: 14000 True positives: 579 False positives: 989 False negatives: 1421 True negatives: 11011 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.79309 Precision: 0.37809 Recall: 0.21400 F1: 0.27331 F2: 0.23434 Total predictions: 11000 True positives: 428 False positives: 704 False negatives: 1572 True negatives: 8296 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.77164 Precision: 0.26770 Recall: 0.14750 F1: 0.19020 F2: 0.16205 Total predictions: 11000 True positives: 295 False positives: 807 False negatives: 1705 True negatives: 8193 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.79608 Precision: 0.28429 Recall: 0.21450 F1: 0.24451 F2: 0.22558 Total predictions: 13000 True positives: 429 False positives: 1080 False negatives: 1571 True negatives: 9920 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80625 Precision: 0.35581 Recall: 0.20050 F1: 0.25648 F2: 0.21968 Total predictions: 12000 True positives: 401 False positives: 726 False negatives: 1599 True negatives: 9274 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82264 Precision: 0.26531 Recall: 0.13650 F1: 0.18026 F2: 0.15118 Total predictions: 14000 True positives: 273 False positives: 756 False negatives: 1727 True negatives: 11244 ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82300 Precision: 0.39769 Recall: 0.29250 F1: 0.33708 F2: 0.30884 Total predictions: 13000 True positives: 585 False positives: 886 False negatives: 1415 True negatives: 10114 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.80508 Precision: 0.32063 Recall: 0.15150 F1: 0.20577 F2: 0.16937 Total predictions: 12000 True positives: 303 False positives: 642 False negatives: 1697 True negatives: 9358 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.30046 Precision: 0.17139 Recall: 0.92500 F1: 0.28920 F2: 0.49218 Total predictions: 13000 True positives: 1850 False positives: 8944 False negatives: 150 True negatives: 2056 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.22400 Precision: 0.16998 Recall: 0.94150 F1: 0.28796 F2: 0.49350 Total predictions: 12000 True positives: 1883 False positives: 9195 False negatives: 117 True negatives: 805 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.78836 Precision: 0.36007 Recall: 0.21100 F1: 0.26608 F2: 0.23005 Total predictions: 11000 True positives: 422 False positives: 750 False negatives: 1578 True negatives: 8250 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.84079 Precision: 0.41874 Recall: 0.29500 F1: 0.34614 F2: 0.31353 Total predictions: 14000 True positives: 590 False positives: 819 False negatives: 1410 True negatives: 11181 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.79973 Precision: 0.40452 Recall: 0.21500 F1: 0.28077 F2: 0.23723 Total predictions: 11000 True positives: 430 False positives: 633 False negatives: 1570 True negatives: 8367 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.79655 Precision: 0.39122 Recall: 0.21400 F1: 0.27666 F2: 0.23532 Total predictions: 11000 True positives: 428 False positives: 666 False negatives: 1572 True negatives: 8334 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.81185 Precision: 0.33864 Recall: 0.23400 F1: 0.27676 F2: 0.24941 Total predictions: 13000 True positives: 468 False positives: 914 False negatives: 1532 True negatives: 10086 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.82442 Precision: 0.45771 Recall: 0.28950 F1: 0.35467 F2: 0.31247 Total predictions: 12000 True positives: 579 False positives: 686 False negatives: 1421 True negatives: 9314 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.83436 Precision: 0.30852 Recall: 0.12850 F1: 0.18143 F2: 0.14548 Total predictions: 14000 True positives: 257 False positives: 576 False negatives: 1743 True negatives: 11424 ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83400 Precision: 0.44499 Recall: 0.31950 F1: 0.37194 F2: 0.33860 Total predictions: 13000 True positives: 639 False positives: 797 False negatives: 1361 True negatives: 10203 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.32682 Precision: 0.20545 Recall: 0.94250 F1: 0.33736 F2: 0.54876 Total predictions: 11000 True positives: 1885 False positives: 7290 False negatives: 115 True negatives: 1710 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.22880 Precision: 0.19912 Recall: 0.94500 F1: 0.32892 F2: 0.54025 Total predictions: 10000 True positives: 1890 False positives: 7602 False negatives: 110 True negatives: 398 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.77450 Precision: 0.33420 Recall: 0.12850 F1: 0.18563 F2: 0.14654 Total predictions: 10000 True positives: 257 False positives: 512 False negatives: 1743 True negatives: 7488 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.83879 Precision: 0.39082 Recall: 0.23000 F1: 0.28958 F2: 0.25063 Total predictions: 14000 True positives: 460 False positives: 717 False negatives: 1540 True negatives: 11283 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.78818 Precision: 0.29579 Recall: 0.11950 F1: 0.17023 F2: 0.13567 Total predictions: 11000 True positives: 239 False positives: 569 False negatives: 1761 True negatives: 8431 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.78118 Precision: 0.26901 Recall: 0.11850 F1: 0.16453 F2: 0.13343 Total predictions: 11000 True positives: 237 False positives: 644 False negatives: 1763 True negatives: 8356 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.79242 Precision: 0.24185 Recall: 0.11500 F1: 0.15588 F2: 0.12848 Total predictions: 12000 True positives: 230 False positives: 721 False negatives: 1770 True negatives: 9279 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.78170 Precision: 0.36323 Recall: 0.12150 F1: 0.18209 F2: 0.14015 Total predictions: 10000 True positives: 243 False positives: 426 False negatives: 1757 True negatives: 7574 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.81800 Precision: 0.28721 Recall: 0.12350 F1: 0.17273 F2: 0.13939 Total predictions: 13000 True positives: 247 False positives: 613 False negatives: 1753 True negatives: 10387 ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.83608 Precision: 0.43508 Recall: 0.21950 F1: 0.29179 F2: 0.24365 Total predictions: 13000 True positives: 439 False positives: 570 False negatives: 1561 True negatives: 10430 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.32518 Precision: 0.21225 Recall: 1.00000 F1: 0.35017 F2: 0.57395 Total predictions: 11000 True positives: 2000 False positives: 7423 False negatives: 0 True negatives: 1577 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.32518 Precision: 0.21225 Recall: 1.00000 F1: 0.35017 F2: 0.57395 Total predictions: 11000 True positives: 2000 False positives: 7423 False negatives: 0 True negatives: 1577 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.40200 Precision: 0.16986 Recall: 0.89650 F1: 0.28560 F2: 0.48313 Total predictions: 15000 True positives: 1793 False positives: 8763 False negatives: 207 True negatives: 4237 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29842 Precision: 0.19196 Recall: 1.00000 F1: 0.32209 F2: 0.54292 Total predictions: 12000 True positives: 2000 False positives: 8419 False negatives: 0 True negatives: 1581 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29350 Precision: 0.18289 Recall: 0.93400 F1: 0.30588 F2: 0.51279 Total predictions: 12000 True positives: 1868 False positives: 8346 False negatives: 132 True negatives: 1654 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.27469 Precision: 0.17488 Recall: 0.99900 F1: 0.29765 F2: 0.51429 Total predictions: 13000 True positives: 1998 False positives: 9427 False negatives: 2 True negatives: 1573 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.30508 Precision: 0.19303 Recall: 0.99650 F1: 0.32341 F2: 0.54379 Total predictions: 12000 True positives: 1993 False positives: 8332 False negatives: 7 True negatives: 1668 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.71708 Precision: 0.24910 Recall: 0.41650 F1: 0.31175 F2: 0.36715 Total predictions: 13000 True positives: 833 False positives: 2511 False negatives: 1167 True negatives: 8489 ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.28900 Precision: 0.16410 Recall: 0.97150 F1: 0.28078 F2: 0.48967 Total predictions: 14000 True positives: 1943 False positives: 9897 False negatives: 57 True negatives: 2103 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.24470 Precision: 0.20930 Recall: 0.99950 F1: 0.34612 F2: 0.56948 Total predictions: 10000 True positives: 1999 False positives: 7552 False negatives: 1 True negatives: 448 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21900 Precision: 0.14959 Recall: 0.95350 F1: 0.25861 F2: 0.45956 Total predictions: 14000 True positives: 1907 False positives: 10841 False negatives: 93 True negatives: 1159 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21864 Precision: 0.18877 Recall: 1.00000 F1: 0.31759 F2: 0.53778 Total predictions: 11000 True positives: 2000 False positives: 8595 False negatives: 0 True negatives: 405 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20936 Precision: 0.18009 Recall: 0.94250 F1: 0.30240 F2: 0.51037 Total predictions: 11000 True positives: 1885 False positives: 8582 False negatives: 115 True negatives: 418 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19917 Precision: 0.17198 Recall: 0.99750 F1: 0.29338 F2: 0.50893 Total predictions: 12000 True positives: 1995 False positives: 9605 False negatives: 5 True negatives: 395 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.23920 Precision: 0.20706 Recall: 0.99100 F1: 0.34255 F2: 0.56397 Total predictions: 10000 True positives: 1982 False positives: 7590 False negatives: 18 True negatives: 410 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.22523 Precision: 0.15237 Recall: 0.88450 F1: 0.25996 F2: 0.45105 Total predictions: 13000 True positives: 1769 False positives: 9841 False negatives: 231 True negatives: 1159 ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23223 Precision: 0.16311 Recall: 0.96600 F1: 0.27909 F2: 0.48677 Total predictions: 13000 True positives: 1932 False positives: 9913 False negatives: 68 True negatives: 1087 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.82892 Precision: 0.43035 Recall: 0.34600 F1: 0.38359 F2: 0.36012 Total predictions: 13000 True positives: 692 False positives: 916 False negatives: 1308 True negatives: 10084 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80782 Precision: 0.45186 Recall: 0.26750 F1: 0.33606 F2: 0.29127 Total predictions: 11000 True positives: 535 False positives: 649 False negatives: 1465 True negatives: 8351 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78218 Precision: 0.33192 Recall: 0.19550 F1: 0.24607 F2: 0.21301 Total predictions: 11000 True positives: 391 False positives: 787 False negatives: 1609 True negatives: 8213 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.80400 Precision: 0.37482 Recall: 0.26350 F1: 0.30945 F2: 0.28014 Total predictions: 12000 True positives: 527 False positives: 879 False negatives: 1473 True negatives: 9121 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.78670 Precision: 0.43938 Recall: 0.24100 F1: 0.31127 F2: 0.26492 Total predictions: 10000 True positives: 482 False positives: 615 False negatives: 1518 True negatives: 7385 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.81954 Precision: 0.34186 Recall: 0.18700 F1: 0.24176 F2: 0.20563 Total predictions: 13000 True positives: 374 False positives: 720 False negatives: 1626 True negatives: 10280 ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.84000 Precision: 0.47308 Recall: 0.35150 F1: 0.40333 F2: 0.37055 Total predictions: 13000 True positives: 703 False positives: 783 False negatives: 1297 True negatives: 10217 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83392 Precision: 0.44054 Recall: 0.29450 F1: 0.35301 F2: 0.31541 Total predictions: 13000 True positives: 589 False positives: 748 False negatives: 1411 True negatives: 10252 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84336 Precision: 0.42920 Recall: 0.29250 F1: 0.34790 F2: 0.31240 Total predictions: 14000 True positives: 585 False positives: 778 False negatives: 1415 True negatives: 11222 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84771 Precision: 0.44939 Recall: 0.29300 F1: 0.35472 F2: 0.31492 Total predictions: 14000 True positives: 586 False positives: 718 False negatives: 1414 True negatives: 11282 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.83554 Precision: 0.45007 Recall: 0.31100 F1: 0.36783 F2: 0.33149 Total predictions: 13000 True positives: 622 False positives: 760 False negatives: 1378 True negatives: 10240 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.84567 Precision: 0.37510 Recall: 0.23650 F1: 0.29010 F2: 0.25537 Total predictions: 15000 True positives: 473 False positives: 788 False negatives: 1527 True negatives: 12212 ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83892 Precision: 0.46652 Recall: 0.32750 F1: 0.38484 F2: 0.34826 Total predictions: 13000 True positives: 655 False positives: 749 False negatives: 1345 True negatives: 10251 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79291 Precision: 0.37201 Recall: 0.20200 F1: 0.26183 F2: 0.22232 Total predictions: 11000 True positives: 404 False positives: 682 False negatives: 1596 True negatives: 8318 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80783 Precision: 0.36602 Recall: 0.20900 F1: 0.26607 F2: 0.22862 Total predictions: 12000 True positives: 418 False positives: 724 False negatives: 1582 True negatives: 9276 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80445 Precision: 0.41873 Recall: 0.19450 F1: 0.26562 F2: 0.21783 Total predictions: 11000 True positives: 389 False positives: 540 False negatives: 1611 True negatives: 8460 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82669 Precision: 0.33507 Recall: 0.12850 F1: 0.18576 F2: 0.14657 Total predictions: 13000 True positives: 257 False positives: 510 False negatives: 1743 True negatives: 10490 ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84169 Precision: 0.47734 Recall: 0.30550 F1: 0.37256 F2: 0.32920 Total predictions: 13000 True positives: 611 False positives: 669 False negatives: 1389 True negatives: 10331 ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79758 Precision: 0.31556 Recall: 0.18350 F1: 0.23206 F2: 0.20026 Total predictions: 12000 True positives: 367 False positives: 796 False negatives: 1633 True negatives: 9204 ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78718 Precision: 0.33746 Recall: 0.17700 F1: 0.23221 F2: 0.19560 Total predictions: 11000 True positives: 354 False positives: 695 False negatives: 1646 True negatives: 8305 ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82608 Precision: 0.33708 Recall: 0.13500 F1: 0.19279 F2: 0.15339 Total predictions: 13000 True positives: 270 False positives: 531 False negatives: 1730 True negatives: 10469 ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84354 Precision: 0.48581 Recall: 0.29100 F1: 0.36398 F2: 0.31637 Total predictions: 13000 True positives: 582 False positives: 616 False negatives: 1418 True negatives: 10384 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.80567 Precision: 0.35763 Recall: 0.20850 F1: 0.26342 F2: 0.22747 Total predictions: 12000 True positives: 417 False positives: 749 False negatives: 1583 True negatives: 9251 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82629 Precision: 0.28357 Recall: 0.14150 F1: 0.18879 F2: 0.15726 Total predictions: 14000 True positives: 283 False positives: 715 False negatives: 1717 True negatives: 11285 ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84521 Precision: 0.43773 Recall: 0.29350 F1: 0.35139 F2: 0.31421 Total predictions: 14000 True positives: 587 False positives: 754 False negatives: 1413 True negatives: 11246 ['poi', 'salary_bonus', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.82746 Precision: 0.34793 Recall: 0.13900 F1: 0.19864 F2: 0.15797 Total predictions: 13000 True positives: 278 False positives: 521 False negatives: 1722 True negatives: 10479 ['poi', 'salary_bonus', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.83962 Precision: 0.46868 Recall: 0.31800 F1: 0.37891 F2: 0.33985 Total predictions: 13000 True positives: 636 False positives: 721 False negatives: 1364 True negatives: 10279 ['poi', 'salary_bonus', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84707 Precision: 0.43514 Recall: 0.23650 F1: 0.30645 F2: 0.26026 Total predictions: 14000 True positives: 473 False positives: 614 False negatives: 1527 True negatives: 11386 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.33283 Precision: 0.19269 Recall: 0.94150 F1: 0.31991 F2: 0.52977 Total predictions: 12000 True positives: 1883 False positives: 7889 False negatives: 117 True negatives: 2111 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.27823 Precision: 0.16842 Recall: 0.93750 F1: 0.28554 F2: 0.48999 Total predictions: 13000 True positives: 1875 False positives: 9258 False negatives: 125 True negatives: 1742 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.37762 Precision: 0.19820 Recall: 1.00000 F1: 0.33082 F2: 0.55276 Total predictions: 13000 True positives: 2000 False positives: 8091 False negatives: 0 True negatives: 2909 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.30500 Precision: 0.18670 Recall: 0.94450 F1: 0.31177 F2: 0.52130 Total predictions: 12000 True positives: 1889 False positives: 8229 False negatives: 111 True negatives: 1771 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.29062 Precision: 0.17765 Recall: 0.99500 F1: 0.30147 F2: 0.51818 Total predictions: 13000 True positives: 1990 False positives: 9212 False negatives: 10 True negatives: 1788 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.30125 Precision: 0.19158 Recall: 0.99150 F1: 0.32111 F2: 0.54030 Total predictions: 12000 True positives: 1983 False positives: 8368 False negatives: 17 True negatives: 1632 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.25286 Precision: 0.15413 Recall: 0.94250 F1: 0.26493 F2: 0.46589 Total predictions: 14000 True positives: 1885 False positives: 10345 False negatives: 115 True negatives: 1655 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.28638 Precision: 0.17735 Recall: 1.00000 F1: 0.30127 F2: 0.51875 Total predictions: 13000 True positives: 2000 False positives: 9277 False negatives: 0 True negatives: 1723 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.30046 Precision: 0.16726 Recall: 0.89150 F1: 0.28167 F2: 0.47776 Total predictions: 13000 True positives: 1783 False positives: 8877 False negatives: 217 True negatives: 2123 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.38900 Precision: 0.19185 Recall: 0.92500 F1: 0.31779 F2: 0.52429 Total predictions: 13000 True positives: 1850 False positives: 7793 False negatives: 150 True negatives: 3207 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.32733 Precision: 0.19171 Recall: 0.94400 F1: 0.31870 F2: 0.52891 Total predictions: 12000 True positives: 1888 False positives: 7960 False negatives: 112 True negatives: 2040 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.33308 Precision: 0.19294 Recall: 0.94300 F1: 0.32034 F2: 0.53052 Total predictions: 12000 True positives: 1886 False positives: 7889 False negatives: 114 True negatives: 2111 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.28414 Precision: 0.16037 Recall: 0.94700 F1: 0.27429 F2: 0.47804 Total predictions: 14000 True positives: 1894 False positives: 9916 False negatives: 106 True negatives: 2084 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.33292 Precision: 0.19278 Recall: 0.94200 F1: 0.32005 F2: 0.53002 Total predictions: 12000 True positives: 1884 False positives: 7889 False negatives: 116 True negatives: 2111 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.32692 Precision: 0.19130 Recall: 0.94150 F1: 0.31799 F2: 0.52766 Total predictions: 12000 True positives: 1883 False positives: 7960 False negatives: 117 True negatives: 2040 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.31200 Precision: 0.17570 Recall: 0.94050 F1: 0.29608 F2: 0.50278 Total predictions: 13000 True positives: 1881 False positives: 8825 False negatives: 119 True negatives: 2175 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.31933 Precision: 0.18804 Recall: 0.92950 F1: 0.31280 F2: 0.51968 Total predictions: 12000 True positives: 1859 False positives: 8027 False negatives: 141 True negatives: 1973 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26829 Precision: 0.15038 Recall: 0.88650 F1: 0.25714 F2: 0.44795 Total predictions: 14000 True positives: 1773 False positives: 10017 False negatives: 227 True negatives: 1983 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.30654 Precision: 0.17490 Recall: 0.94350 F1: 0.29510 F2: 0.50216 Total predictions: 13000 True positives: 1887 False positives: 8902 False negatives: 113 True negatives: 2098 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.41675 Precision: 0.21431 Recall: 0.93750 F1: 0.34887 F2: 0.55973 Total predictions: 12000 True positives: 1875 False positives: 6874 False negatives: 125 True negatives: 3126 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.33882 Precision: 0.20806 Recall: 0.93950 F1: 0.34068 F2: 0.55164 Total predictions: 11000 True positives: 1879 False positives: 7152 False negatives: 121 True negatives: 1848 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.34009 Precision: 0.20806 Recall: 0.93700 F1: 0.34051 F2: 0.55095 Total predictions: 11000 True positives: 1874 False positives: 7133 False negatives: 126 True negatives: 1867 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.15784 Recall: 0.95350 F1: 0.27084 F2: 0.47480 Total predictions: 14000 True positives: 1907 False positives: 10175 False negatives: 93 True negatives: 1825 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.31233 Precision: 0.18752 Recall: 0.93800 F1: 0.31256 F2: 0.52100 Total predictions: 12000 True positives: 1876 False positives: 8128 False negatives: 124 True negatives: 1872 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.29900 Precision: 0.17837 Recall: 0.88900 F1: 0.29713 F2: 0.49477 Total predictions: 12000 True positives: 1778 False positives: 8190 False negatives: 222 True negatives: 1810 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.29758 Precision: 0.18495 Recall: 0.94350 F1: 0.30927 F2: 0.51832 Total predictions: 12000 True positives: 1887 False positives: 8316 False negatives: 113 True negatives: 1684 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.34036 Precision: 0.20871 Recall: 0.94150 F1: 0.34168 F2: 0.55311 Total predictions: 11000 True positives: 1883 False positives: 7139 False negatives: 117 True negatives: 1861 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.28385 Precision: 0.17025 Recall: 0.94350 F1: 0.28844 F2: 0.49439 Total predictions: 13000 True positives: 1887 False positives: 9197 False negatives: 113 True negatives: 1803 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.27662 Precision: 0.16899 Recall: 0.94500 F1: 0.28671 F2: 0.49260 Total predictions: 13000 True positives: 1890 False positives: 9294 False negatives: 110 True negatives: 1706 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.45927 Precision: 0.25164 Recall: 1.00000 F1: 0.40209 F2: 0.62704 Total predictions: 11000 True positives: 2000 False positives: 5948 False negatives: 0 True negatives: 3052 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.45927 Precision: 0.25164 Recall: 1.00000 F1: 0.40209 F2: 0.62704 Total predictions: 11000 True positives: 2000 False positives: 5948 False negatives: 0 True negatives: 3052 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.34821 Precision: 0.17978 Recall: 1.00000 F1: 0.30476 F2: 0.52288 Total predictions: 14000 True positives: 2000 False positives: 9125 False negatives: 0 True negatives: 2875 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.40583 Precision: 0.21906 Recall: 1.00000 F1: 0.35939 F2: 0.58377 Total predictions: 12000 True positives: 2000 False positives: 7130 False negatives: 0 True negatives: 2870 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.40583 Precision: 0.21134 Recall: 0.93900 F1: 0.34503 F2: 0.55608 Total predictions: 12000 True positives: 1878 False positives: 7008 False negatives: 122 True negatives: 2992 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.38292 Precision: 0.19890 Recall: 0.99450 F1: 0.33150 F2: 0.55250 Total predictions: 13000 True positives: 1989 False positives: 8011 False negatives: 11 True negatives: 2989 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.41483 Precision: 0.22081 Recall: 0.99300 F1: 0.36129 F2: 0.58432 Total predictions: 12000 True positives: 1986 False positives: 7008 False negatives: 14 True negatives: 2992 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36346 Precision: 0.18871 Recall: 0.95100 F1: 0.31493 F2: 0.52602 Total predictions: 13000 True positives: 1902 False positives: 8177 False negatives: 98 True negatives: 2823 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.35614 Precision: 0.18159 Recall: 1.00000 F1: 0.30736 F2: 0.52593 Total predictions: 14000 True positives: 2000 False positives: 9014 False negatives: 0 True negatives: 2986 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.40344 Precision: 0.27141 Recall: 1.00000 F1: 0.42694 F2: 0.65066 Total predictions: 9000 True positives: 2000 False positives: 5369 False negatives: 0 True negatives: 1631 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.28662 Precision: 0.17740 Recall: 1.00000 F1: 0.30134 F2: 0.51883 Total predictions: 13000 True positives: 2000 False positives: 9274 False negatives: 0 True negatives: 1726 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.33718 Precision: 0.21526 Recall: 1.00000 F1: 0.35426 F2: 0.57834 Total predictions: 11000 True positives: 2000 False positives: 7291 False negatives: 0 True negatives: 1709 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.33309 Precision: 0.20623 Recall: 0.93650 F1: 0.33803 F2: 0.54824 Total predictions: 11000 True positives: 1873 False positives: 7209 False negatives: 127 True negatives: 1791 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.31667 Precision: 0.19560 Recall: 0.99600 F1: 0.32699 F2: 0.54773 Total predictions: 12000 True positives: 1992 False positives: 8192 False negatives: 8 True negatives: 1808 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.34727 Precision: 0.21750 Recall: 0.99700 F1: 0.35709 F2: 0.58073 Total predictions: 11000 True positives: 1994 False positives: 7174 False negatives: 6 True negatives: 1826 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.28800 Precision: 0.17768 Recall: 1.00000 F1: 0.30175 F2: 0.51932 Total predictions: 13000 True positives: 2000 False positives: 9256 False negatives: 0 True negatives: 1744 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.28662 Precision: 0.17740 Recall: 1.00000 F1: 0.30134 F2: 0.51883 Total predictions: 13000 True positives: 2000 False positives: 9274 False negatives: 0 True negatives: 1726 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.33718 Precision: 0.21526 Recall: 1.00000 F1: 0.35426 F2: 0.57834 Total predictions: 11000 True positives: 2000 False positives: 7291 False negatives: 0 True negatives: 1709 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.33473 Precision: 0.20632 Recall: 0.93400 F1: 0.33798 F2: 0.54767 Total predictions: 11000 True positives: 1868 False positives: 7186 False negatives: 132 True negatives: 1814 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.31667 Precision: 0.19560 Recall: 0.99600 F1: 0.32699 F2: 0.54773 Total predictions: 12000 True positives: 1992 False positives: 8192 False negatives: 8 True negatives: 1808 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.34745 Precision: 0.21767 Recall: 0.99800 F1: 0.35739 F2: 0.58125 Total predictions: 11000 True positives: 1996 False positives: 7174 False negatives: 4 True negatives: 1826 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.27931 Precision: 0.17011 Recall: 0.95000 F1: 0.28856 F2: 0.49559 Total predictions: 13000 True positives: 1900 False positives: 9269 False negatives: 100 True negatives: 1731 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.28800 Precision: 0.17768 Recall: 1.00000 F1: 0.30175 F2: 0.51932 Total predictions: 13000 True positives: 2000 False positives: 9256 False negatives: 0 True negatives: 1744 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28669 Precision: 0.17742 Recall: 1.00000 F1: 0.30136 F2: 0.51886 Total predictions: 13000 True positives: 2000 False positives: 9273 False negatives: 0 True negatives: 1727 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.29953 Precision: 0.15023 Recall: 0.91350 F1: 0.25803 F2: 0.45310 Total predictions: 15000 True positives: 1827 False positives: 10334 False negatives: 173 True negatives: 2666 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.28692 Precision: 0.17741 Recall: 0.99950 F1: 0.30133 F2: 0.51874 Total predictions: 13000 True positives: 1999 False positives: 9269 False negatives: 1 True negatives: 1731 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.33173 Precision: 0.20602 Recall: 0.93750 F1: 0.33781 F2: 0.54821 Total predictions: 11000 True positives: 1875 False positives: 7226 False negatives: 125 True negatives: 1774 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30867 Precision: 0.19395 Recall: 0.99750 F1: 0.32476 F2: 0.54550 Total predictions: 12000 True positives: 1995 False positives: 8291 False negatives: 5 True negatives: 1709 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31042 Precision: 0.19369 Recall: 0.99200 F1: 0.32410 F2: 0.54377 Total predictions: 12000 True positives: 1984 False positives: 8259 False negatives: 16 True negatives: 1741 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26336 Precision: 0.15708 Recall: 0.95200 F1: 0.26967 F2: 0.47314 Total predictions: 14000 True positives: 1904 False positives: 10217 False negatives: 96 True negatives: 1783 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.28031 Precision: 0.17612 Recall: 1.00000 F1: 0.29949 F2: 0.51664 Total predictions: 13000 True positives: 2000 False positives: 9356 False negatives: 0 True negatives: 1644 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29883 Precision: 0.18534 Recall: 0.94450 F1: 0.30988 F2: 0.51918 Total predictions: 12000 True positives: 1889 False positives: 8303 False negatives: 111 True negatives: 1697 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30883 Precision: 0.18605 Recall: 0.93250 F1: 0.31021 F2: 0.51737 Total predictions: 12000 True positives: 1865 False positives: 8159 False negatives: 135 True negatives: 1841 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26057 Precision: 0.15573 Recall: 0.94450 F1: 0.26737 F2: 0.46920 Total predictions: 14000 True positives: 1889 False positives: 10241 False negatives: 111 True negatives: 1759 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.30775 Precision: 0.19345 Recall: 0.99500 F1: 0.32392 F2: 0.54410 Total predictions: 12000 True positives: 1990 False positives: 8297 False negatives: 10 True negatives: 1703 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.25786 Precision: 0.15416 Recall: 0.93500 F1: 0.26469 F2: 0.46448 Total predictions: 14000 True positives: 1870 False positives: 10260 False negatives: 130 True negatives: 1740 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28669 Precision: 0.17742 Recall: 1.00000 F1: 0.30136 F2: 0.51886 Total predictions: 13000 True positives: 2000 False positives: 9273 False negatives: 0 True negatives: 1727 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.27731 Precision: 0.17019 Recall: 0.95400 F1: 0.28885 F2: 0.49659 Total predictions: 13000 True positives: 1908 False positives: 9303 False negatives: 92 True negatives: 1697 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.29443 Precision: 0.15754 Recall: 0.90600 F1: 0.26840 F2: 0.46457 Total predictions: 14000 True positives: 1812 False positives: 9690 False negatives: 188 True negatives: 2310 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.78108 Precision: 0.19710 Recall: 0.10200 F1: 0.13443 F2: 0.11289 Total predictions: 12000 True positives: 204 False positives: 831 False negatives: 1796 True negatives: 9169 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.24482 Precision: 0.18594 Recall: 0.93350 F1: 0.31011 F2: 0.51743 Total predictions: 11000 True positives: 1867 False positives: 8174 False negatives: 133 True negatives: 826 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.78200 Precision: 0.32785 Recall: 0.18950 F1: 0.24018 F2: 0.20697 Total predictions: 11000 True positives: 379 False positives: 777 False negatives: 1621 True negatives: 8223 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.84279 Precision: 0.42461 Recall: 0.28300 F1: 0.33963 F2: 0.30323 Total predictions: 14000 True positives: 566 False positives: 767 False negatives: 1434 True negatives: 11233 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.78118 Precision: 0.32258 Recall: 0.18500 F1: 0.23514 F2: 0.20225 Total predictions: 11000 True positives: 370 False positives: 777 False negatives: 1630 True negatives: 8223 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.77118 Precision: 0.29662 Recall: 0.18850 F1: 0.23051 F2: 0.20332 Total predictions: 11000 True positives: 377 False positives: 894 False negatives: 1623 True negatives: 8106 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.79567 Precision: 0.29749 Recall: 0.16600 F1: 0.21309 F2: 0.18210 Total predictions: 12000 True positives: 332 False positives: 784 False negatives: 1668 True negatives: 9216 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.79583 Precision: 0.29282 Recall: 0.15900 F1: 0.20609 F2: 0.17499 Total predictions: 12000 True positives: 318 False positives: 768 False negatives: 1682 True negatives: 9232 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.82743 Precision: 0.25870 Recall: 0.11150 F1: 0.15584 F2: 0.12582 Total predictions: 14000 True positives: 223 False positives: 639 False negatives: 1777 True negatives: 11361 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.82669 Precision: 0.40800 Recall: 0.28050 F1: 0.33244 F2: 0.29920 Total predictions: 13000 True positives: 561 False positives: 814 False negatives: 1439 True negatives: 10186 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.27485 Precision: 0.16823 Recall: 0.94150 F1: 0.28545 F2: 0.49054 Total predictions: 13000 True positives: 1883 False positives: 9310 False negatives: 117 True negatives: 1690 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.19133 Precision: 0.16370 Recall: 0.93750 F1: 0.27873 F2: 0.48191 Total predictions: 12000 True positives: 1875 False positives: 9579 False negatives: 125 True negatives: 421 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.81000 Precision: 0.35743 Recall: 0.17550 F1: 0.23541 F2: 0.19539 Total predictions: 12000 True positives: 351 False positives: 631 False negatives: 1649 True negatives: 9369 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.82964 Precision: 0.35089 Recall: 0.22650 F1: 0.27530 F2: 0.24378 Total predictions: 14000 True positives: 453 False positives: 838 False negatives: 1547 True negatives: 11162 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.79175 Precision: 0.22309 Recall: 0.10050 F1: 0.13857 F2: 0.11291 Total predictions: 12000 True positives: 201 False positives: 700 False negatives: 1799 True negatives: 9300 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.77908 Precision: 0.16684 Recall: 0.08150 F1: 0.10951 F2: 0.09079 Total predictions: 12000 True positives: 163 False positives: 814 False negatives: 1837 True negatives: 9186 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.79069 Precision: 0.17552 Recall: 0.09750 F1: 0.12536 F2: 0.10701 Total predictions: 13000 True positives: 195 False positives: 916 False negatives: 1805 True negatives: 10084 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.79350 Precision: 0.18133 Recall: 0.06800 F1: 0.09891 F2: 0.07771 Total predictions: 12000 True positives: 136 False positives: 614 False negatives: 1864 True negatives: 9386 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.82600 Precision: 0.25450 Recall: 0.11300 F1: 0.15651 F2: 0.12714 Total predictions: 14000 True positives: 226 False positives: 662 False negatives: 1774 True negatives: 11338 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.83621 Precision: 0.36885 Recall: 0.20600 F1: 0.26436 F2: 0.22595 Total predictions: 14000 True positives: 412 False positives: 705 False negatives: 1588 True negatives: 11295 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.33447 Precision: 0.16142 Recall: 0.95150 F1: 0.27602 F2: 0.48082 Total predictions: 15000 True positives: 1903 False positives: 9886 False negatives: 97 True negatives: 3114 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28575 Precision: 0.18155 Recall: 0.93650 F1: 0.30413 F2: 0.51127 Total predictions: 12000 True positives: 1873 False positives: 8444 False negatives: 127 True negatives: 1556 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.26064 Precision: 0.16160 Recall: 0.99700 F1: 0.27812 F2: 0.49019 Total predictions: 14000 True positives: 1994 False positives: 10345 False negatives: 6 True negatives: 1655 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.27715 Precision: 0.17446 Recall: 0.99100 F1: 0.29668 F2: 0.51185 Total predictions: 13000 True positives: 1982 False positives: 9379 False negatives: 18 True negatives: 1621 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.69629 Precision: 0.24079 Recall: 0.52300 F1: 0.32976 F2: 0.42369 Total predictions: 14000 True positives: 1046 False positives: 3298 False negatives: 954 True negatives: 8702 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27129 Precision: 0.16252 Recall: 0.98750 F1: 0.27911 F2: 0.49003 Total predictions: 14000 True positives: 1975 False positives: 10177 False negatives: 25 True negatives: 1823 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.21800 Precision: 0.18864 Recall: 1.00000 F1: 0.31741 F2: 0.53758 Total predictions: 11000 True positives: 2000 False positives: 8602 False negatives: 0 True negatives: 398 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21371 Precision: 0.15009 Recall: 0.96600 F1: 0.25982 F2: 0.46282 Total predictions: 14000 True positives: 1932 False positives: 10940 False negatives: 68 True negatives: 1060 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21800 Precision: 0.18864 Recall: 1.00000 F1: 0.31741 F2: 0.53758 Total predictions: 11000 True positives: 2000 False positives: 8602 False negatives: 0 True negatives: 398 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20809 Precision: 0.17918 Recall: 0.93700 F1: 0.30083 F2: 0.50761 Total predictions: 11000 True positives: 1874 False positives: 8585 False negatives: 126 True negatives: 415 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18415 Precision: 0.15811 Recall: 0.99500 F1: 0.27286 F2: 0.48334 Total predictions: 13000 True positives: 1990 False positives: 10596 False negatives: 10 True negatives: 404 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.20100 Precision: 0.17225 Recall: 0.99700 F1: 0.29375 F2: 0.50930 Total predictions: 12000 True positives: 1994 False positives: 9582 False negatives: 6 True negatives: 418 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22414 Precision: 0.14063 Recall: 0.86700 F1: 0.24201 F2: 0.42646 Total predictions: 14000 True positives: 1734 False positives: 10596 False negatives: 266 True negatives: 1404 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22838 Precision: 0.16293 Recall: 0.97050 F1: 0.27902 F2: 0.48737 Total predictions: 13000 True positives: 1941 False positives: 9972 False negatives: 59 True negatives: 1028 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.84429 Precision: 0.43878 Recall: 0.32250 F1: 0.37176 F2: 0.34055 Total predictions: 14000 True positives: 645 False positives: 825 False negatives: 1355 True negatives: 11175 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80018 Precision: 0.41722 Recall: 0.24950 F1: 0.31227 F2: 0.27131 Total predictions: 11000 True positives: 499 False positives: 697 False negatives: 1501 True negatives: 8303 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78682 Precision: 0.34101 Recall: 0.18500 F1: 0.23987 F2: 0.20363 Total predictions: 11000 True positives: 370 False positives: 715 False negatives: 1630 True negatives: 8285 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.79875 Precision: 0.34595 Recall: 0.23300 F1: 0.27846 F2: 0.24928 Total predictions: 12000 True positives: 466 False positives: 881 False negatives: 1534 True negatives: 9119 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.81433 Precision: 0.39840 Recall: 0.22350 F1: 0.28635 F2: 0.24501 Total predictions: 12000 True positives: 447 False positives: 675 False negatives: 1553 True negatives: 9325 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.83100 Precision: 0.32768 Recall: 0.17400 F1: 0.22730 F2: 0.19201 Total predictions: 14000 True positives: 348 False positives: 714 False negatives: 1652 True negatives: 11286 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.84015 Precision: 0.47230 Recall: 0.33250 F1: 0.39026 F2: 0.35342 Total predictions: 13000 True positives: 665 False positives: 743 False negatives: 1335 True negatives: 10257 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83664 Precision: 0.39801 Recall: 0.28000 F1: 0.32873 F2: 0.29765 Total predictions: 14000 True positives: 560 False positives: 847 False negatives: 1440 True negatives: 11153 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83571 Precision: 0.39407 Recall: 0.27900 F1: 0.32670 F2: 0.29630 Total predictions: 14000 True positives: 558 False positives: 858 False negatives: 1442 True negatives: 11142 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.83321 Precision: 0.38328 Recall: 0.27500 F1: 0.32023 F2: 0.29147 Total predictions: 14000 True positives: 550 False positives: 885 False negatives: 1450 True negatives: 11115 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.83207 Precision: 0.37701 Recall: 0.26900 F1: 0.31398 F2: 0.28535 Total predictions: 14000 True positives: 538 False positives: 889 False negatives: 1462 True negatives: 11111 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.84627 Precision: 0.37334 Recall: 0.22550 F1: 0.28117 F2: 0.24490 Total predictions: 15000 True positives: 451 False positives: 757 False negatives: 1549 True negatives: 12243 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84543 Precision: 0.43997 Recall: 0.30050 F1: 0.35710 F2: 0.32084 Total predictions: 14000 True positives: 601 False positives: 765 False negatives: 1399 True negatives: 11235 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77764 Precision: 0.28350 Recall: 0.14600 F1: 0.19274 F2: 0.16168 Total predictions: 11000 True positives: 292 False positives: 738 False negatives: 1708 True negatives: 8262 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.79183 Precision: 0.29146 Recall: 0.17400 F1: 0.21791 F2: 0.18925 Total predictions: 12000 True positives: 348 False positives: 846 False negatives: 1652 True negatives: 9154 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80208 Precision: 0.32023 Recall: 0.16700 F1: 0.21952 F2: 0.18467 Total predictions: 12000 True positives: 334 False positives: 709 False negatives: 1666 True negatives: 9291 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82557 Precision: 0.26134 Recall: 0.12100 F1: 0.16541 F2: 0.13556 Total predictions: 14000 True positives: 242 False positives: 684 False negatives: 1758 True negatives: 11316 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82731 Precision: 0.40986 Recall: 0.27850 F1: 0.33165 F2: 0.29757 Total predictions: 13000 True positives: 557 False positives: 802 False negatives: 1443 True negatives: 10198 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78175 Precision: 0.24610 Recall: 0.15000 F1: 0.18639 F2: 0.16271 Total predictions: 12000 True positives: 300 False positives: 919 False negatives: 1700 True negatives: 9081 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78967 Precision: 0.24904 Recall: 0.13000 F1: 0.17083 F2: 0.14374 Total predictions: 12000 True positives: 260 False positives: 784 False negatives: 1740 True negatives: 9216 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82457 Precision: 0.25217 Recall: 0.11600 F1: 0.15890 F2: 0.13004 Total predictions: 14000 True positives: 232 False positives: 688 False negatives: 1768 True negatives: 11312 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82608 Precision: 0.40312 Recall: 0.27150 F1: 0.32447 F2: 0.29047 Total predictions: 13000 True positives: 543 False positives: 804 False negatives: 1457 True negatives: 10196 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.79769 Precision: 0.25467 Recall: 0.16350 F1: 0.19915 F2: 0.17611 Total predictions: 13000 True positives: 327 False positives: 957 False negatives: 1673 True negatives: 10043 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82064 Precision: 0.25314 Recall: 0.13100 F1: 0.17265 F2: 0.14499 Total predictions: 14000 True positives: 262 False positives: 773 False negatives: 1738 True negatives: 11227 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.82957 Precision: 0.36889 Recall: 0.27150 F1: 0.31279 F2: 0.28663 Total predictions: 14000 True positives: 543 False positives: 929 False negatives: 1457 True negatives: 11071 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82486 Precision: 0.25906 Recall: 0.12150 F1: 0.16542 F2: 0.13594 Total predictions: 14000 True positives: 243 False positives: 695 False negatives: 1757 True negatives: 11305 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.82854 Precision: 0.41103 Recall: 0.26450 F1: 0.32187 F2: 0.28481 Total predictions: 13000 True positives: 529 False positives: 758 False negatives: 1471 True negatives: 10242 ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85520 Precision: 0.42110 Recall: 0.22950 F1: 0.29709 F2: 0.25248 Total predictions: 15000 True positives: 459 False positives: 631 False negatives: 1541 True negatives: 12369 ['poi', 'salary_bonus', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'director_fees'] Accuracy: 0.30338 Precision: 0.16660 Recall: 0.88150 F1: 0.28024 F2: 0.47438 Total predictions: 13000 True positives: 1763 False positives: 8819 False negatives: 237 True negatives: 2181 ['poi', 'salary_bonus', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.21600 Precision: 0.16167 Recall: 0.88500 F1: 0.27340 F2: 0.46707 Total predictions: 12000 True positives: 1770 False positives: 9178 False negatives: 230 True negatives: 822 ['poi', 'salary_bonus', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'bonus'] Accuracy: 0.79008 Precision: 0.24383 Recall: 0.12350 F1: 0.16396 F2: 0.13702 Total predictions: 12000 True positives: 247 False positives: 766 False negatives: 1753 True negatives: 9234 ['poi', 'salary_bonus', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.84636 Precision: 0.43080 Recall: 0.23500 F1: 0.30411 F2: 0.25850 Total predictions: 14000 True positives: 470 False positives: 621 False negatives: 1530 True negatives: 11379 ['poi', 'salary_bonus', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.79650 Precision: 0.26589 Recall: 0.12550 F1: 0.17052 F2: 0.14032 Total predictions: 12000 True positives: 251 False positives: 693 False negatives: 1749 True negatives: 9307 ['poi', 'salary_bonus', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.79992 Precision: 0.27796 Recall: 0.12550 F1: 0.17292 F2: 0.14096 Total predictions: 12000 True positives: 251 False positives: 652 False negatives: 1749 True negatives: 9348 ['poi', 'salary_bonus', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.80254 Precision: 0.22341 Recall: 0.11450 F1: 0.15140 F2: 0.12687 Total predictions: 13000 True positives: 229 False positives: 796 False negatives: 1771 True negatives: 10204 ['poi', 'salary_bonus', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'salary'] Accuracy: 0.79458 Precision: 0.24309 Recall: 0.11000 F1: 0.15146 F2: 0.12353 Total predictions: 12000 True positives: 220 False positives: 685 False negatives: 1780 True negatives: 9315 ['poi', 'salary_bonus', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'total_payments'] Accuracy: 0.82457 Precision: 0.24554 Recall: 0.11000 F1: 0.15193 F2: 0.12365 Total predictions: 14000 True positives: 220 False positives: 676 False negatives: 1780 True negatives: 11324 ['poi', 'salary_bonus', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.84600 Precision: 0.42778 Recall: 0.23100 F1: 0.30000 F2: 0.25441 Total predictions: 14000 True positives: 462 False positives: 618 False negatives: 1538 True negatives: 11382 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.31042 Precision: 0.18647 Recall: 0.93300 F1: 0.31082 F2: 0.51813 Total predictions: 12000 True positives: 1866 False positives: 8141 False negatives: 134 True negatives: 1859 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31658 Precision: 0.18773 Recall: 0.93200 F1: 0.31252 F2: 0.51983 Total predictions: 12000 True positives: 1864 False positives: 8065 False negatives: 136 True negatives: 1935 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.28367 Precision: 0.15084 Recall: 0.94450 F1: 0.26014 F2: 0.46022 Total predictions: 15000 True positives: 1889 False positives: 10634 False negatives: 111 True negatives: 2366 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30950 Precision: 0.18614 Recall: 0.93200 F1: 0.31030 F2: 0.51738 Total predictions: 12000 True positives: 1864 False positives: 8150 False negatives: 136 True negatives: 1850 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.28986 Precision: 0.16048 Recall: 0.93850 F1: 0.27409 F2: 0.47649 Total predictions: 14000 True positives: 1877 False positives: 9819 False negatives: 123 True negatives: 2181 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29692 Precision: 0.17139 Recall: 0.93100 F1: 0.28949 F2: 0.49353 Total predictions: 13000 True positives: 1862 False positives: 9002 False negatives: 138 True negatives: 1998 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.33643 Precision: 0.16061 Recall: 0.86250 F1: 0.27080 F2: 0.46025 Total predictions: 14000 True positives: 1725 False positives: 9015 False negatives: 275 True negatives: 2985 ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.28836 Precision: 0.16152 Recall: 0.95000 F1: 0.27610 F2: 0.48070 Total predictions: 14000 True positives: 1900 False positives: 9863 False negatives: 100 True negatives: 2137 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.24573 Precision: 0.18637 Recall: 0.93550 F1: 0.31082 F2: 0.51860 Total predictions: 11000 True positives: 1871 False positives: 8168 False negatives: 129 True negatives: 832 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19550 Precision: 0.14485 Recall: 0.94450 F1: 0.25118 F2: 0.44889 Total predictions: 14000 True positives: 1889 False positives: 11152 False negatives: 111 True negatives: 848 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.24536 Precision: 0.18617 Recall: 0.93450 F1: 0.31049 F2: 0.51804 Total predictions: 11000 True positives: 1869 False positives: 8170 False negatives: 131 True negatives: 830 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.23755 Precision: 0.18453 Recall: 0.93400 F1: 0.30817 F2: 0.51537 Total predictions: 11000 True positives: 1868 False positives: 8255 False negatives: 132 True negatives: 745 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20862 Precision: 0.15610 Recall: 0.94050 F1: 0.26776 F2: 0.46908 Total predictions: 13000 True positives: 1881 False positives: 10169 False negatives: 119 True negatives: 831 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.22425 Precision: 0.16955 Recall: 0.93750 F1: 0.28716 F2: 0.49189 Total predictions: 12000 True positives: 1875 False positives: 9184 False negatives: 125 True negatives: 816 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.23893 Precision: 0.13771 Recall: 0.82250 F1: 0.23593 F2: 0.41238 Total predictions: 14000 True positives: 1645 False positives: 10300 False negatives: 355 True negatives: 1700 ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21331 Precision: 0.15729 Recall: 0.94400 F1: 0.26966 F2: 0.47193 Total predictions: 13000 True positives: 1888 False positives: 10115 False negatives: 112 True negatives: 885 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.83743 Precision: 0.40129 Recall: 0.28050 F1: 0.33019 F2: 0.29847 Total predictions: 14000 True positives: 561 False positives: 837 False negatives: 1439 True negatives: 11163 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.78964 Precision: 0.35701 Recall: 0.19600 F1: 0.25307 F2: 0.21543 Total predictions: 11000 True positives: 392 False positives: 706 False negatives: 1608 True negatives: 8294 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79527 Precision: 0.38419 Recall: 0.20900 F1: 0.27073 F2: 0.22997 Total predictions: 11000 True positives: 418 False positives: 670 False negatives: 1582 True negatives: 8330 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.79492 Precision: 0.30350 Recall: 0.17800 F1: 0.22439 F2: 0.19405 Total predictions: 12000 True positives: 356 False positives: 817 False negatives: 1644 True negatives: 9183 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'salary'] Accuracy: 0.79875 Precision: 0.31256 Recall: 0.17300 F1: 0.22272 F2: 0.18996 Total predictions: 12000 True positives: 346 False positives: 761 False negatives: 1654 True negatives: 9239 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.82579 Precision: 0.25584 Recall: 0.11500 F1: 0.15868 F2: 0.12923 Total predictions: 14000 True positives: 230 False positives: 669 False negatives: 1770 True negatives: 11331 ['poi', 'salary_bonus', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.82969 Precision: 0.42074 Recall: 0.28400 F1: 0.33910 F2: 0.30374 Total predictions: 13000 True positives: 568 False positives: 782 False negatives: 1432 True negatives: 10218 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85686 Precision: 0.49839 Recall: 0.30950 F1: 0.38186 F2: 0.33488 Total predictions: 14000 True positives: 619 False positives: 623 False negatives: 1381 True negatives: 11377 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85614 Precision: 0.49421 Recall: 0.29850 F1: 0.37219 F2: 0.32417 Total predictions: 14000 True positives: 597 False positives: 611 False negatives: 1403 True negatives: 11389 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85486 Precision: 0.48758 Recall: 0.31400 F1: 0.38200 F2: 0.33807 Total predictions: 14000 True positives: 628 False positives: 660 False negatives: 1372 True negatives: 11340 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.84793 Precision: 0.44819 Recall: 0.27900 F1: 0.34391 F2: 0.30178 Total predictions: 14000 True positives: 558 False positives: 687 False negatives: 1442 True negatives: 11313 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.85353 Precision: 0.41021 Recall: 0.22500 F1: 0.29060 F2: 0.24733 Total predictions: 15000 True positives: 450 False positives: 647 False negatives: 1550 True negatives: 12353 ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84593 Precision: 0.44627 Recall: 0.32600 F1: 0.37677 F2: 0.34457 Total predictions: 14000 True positives: 652 False positives: 809 False negatives: 1348 True negatives: 11191 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.76118 Precision: 0.29682 Recall: 0.22900 F1: 0.25854 F2: 0.23997 Total predictions: 11000 True positives: 458 False positives: 1085 False negatives: 1542 True negatives: 7915 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80992 Precision: 0.35794 Recall: 0.17700 F1: 0.23687 F2: 0.19691 Total predictions: 12000 True positives: 354 False positives: 635 False negatives: 1646 True negatives: 9365 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81625 Precision: 0.38871 Recall: 0.17900 F1: 0.24512 F2: 0.20065 Total predictions: 12000 True positives: 358 False positives: 563 False negatives: 1642 True negatives: 9437 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83907 Precision: 0.31799 Recall: 0.11050 F1: 0.16401 F2: 0.12708 Total predictions: 14000 True positives: 221 False positives: 474 False negatives: 1779 True negatives: 11526 ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84492 Precision: 0.49371 Recall: 0.31400 F1: 0.38386 F2: 0.33865 Total predictions: 13000 True positives: 628 False positives: 644 False negatives: 1372 True negatives: 10356 ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80767 Precision: 0.35106 Recall: 0.18150 F1: 0.23929 F2: 0.20091 Total predictions: 12000 True positives: 363 False positives: 671 False negatives: 1637 True negatives: 9329 ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80783 Precision: 0.35647 Recall: 0.19000 F1: 0.24788 F2: 0.20957 Total predictions: 12000 True positives: 380 False positives: 686 False negatives: 1620 True negatives: 9314 ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83800 Precision: 0.31127 Recall: 0.11050 F1: 0.16310 F2: 0.12687 Total predictions: 14000 True positives: 221 False positives: 489 False negatives: 1779 True negatives: 11511 ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84777 Precision: 0.50880 Recall: 0.30350 F1: 0.38021 F2: 0.33014 Total predictions: 13000 True positives: 607 False positives: 586 False negatives: 1393 True negatives: 10414 ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.81938 Precision: 0.34574 Recall: 0.19500 F1: 0.24936 F2: 0.21363 Total predictions: 13000 True positives: 390 False positives: 738 False negatives: 1610 True negatives: 10262 ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.83400 Precision: 0.30576 Recall: 0.12750 F1: 0.17996 F2: 0.14433 Total predictions: 14000 True positives: 255 False positives: 579 False negatives: 1745 True negatives: 11421 ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84971 Precision: 0.46176 Recall: 0.31400 F1: 0.37381 F2: 0.33547 Total predictions: 14000 True positives: 628 False positives: 732 False negatives: 1372 True negatives: 11268 ['poi', 'salary_bonus', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.83357 Precision: 0.28846 Recall: 0.11250 F1: 0.16187 F2: 0.12813 Total predictions: 14000 True positives: 225 False positives: 555 False negatives: 1775 True negatives: 11445 ['poi', 'salary_bonus', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.84108 Precision: 0.47213 Recall: 0.27950 F1: 0.35113 F2: 0.30433 Total predictions: 13000 True positives: 559 False positives: 625 False negatives: 1441 True negatives: 10375 ['poi', 'salary_bonus', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86153 Precision: 0.46138 Recall: 0.23000 F1: 0.30697 F2: 0.25564 Total predictions: 15000 True positives: 460 False positives: 537 False negatives: 1540 True negatives: 12463 ['poi', 'salary_bonus', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.31418 Precision: 0.20019 Recall: 0.92550 F1: 0.32918 F2: 0.53665 Total predictions: 11000 True positives: 1851 False positives: 7395 False negatives: 149 True negatives: 1605 ['poi', 'salary_bonus', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'bonus'] Accuracy: 0.31773 Precision: 0.20104 Recall: 0.92550 F1: 0.33033 F2: 0.53786 Total predictions: 11000 True positives: 1851 False positives: 7356 False negatives: 149 True negatives: 1644 ['poi', 'salary_bonus', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.68907 Precision: 0.25315 Recall: 0.68300 F1: 0.36939 F2: 0.50985 Total predictions: 15000 True positives: 1366 False positives: 4030 False negatives: 634 True negatives: 8970 ['poi', 'salary_bonus', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27300 Precision: 0.16740 Recall: 0.93750 F1: 0.28407 F2: 0.48826 Total predictions: 13000 True positives: 1875 False positives: 9326 False negatives: 125 True negatives: 1674 ['poi', 'salary_bonus', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28575 Precision: 0.17551 Recall: 0.88850 F1: 0.29311 F2: 0.49021 Total predictions: 12000 True positives: 1777 False positives: 8348 False negatives: 223 True negatives: 1652 ['poi', 'salary_bonus', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.26257 Precision: 0.15643 Recall: 0.94750 F1: 0.26853 F2: 0.47106 Total predictions: 14000 True positives: 1895 False positives: 10219 False negatives: 105 True negatives: 1781 ['poi', 'salary_bonus', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'salary'] Accuracy: 0.30317 Precision: 0.18611 Recall: 0.94300 F1: 0.31086 F2: 0.52002 Total predictions: 12000 True positives: 1886 False positives: 8248 False negatives: 114 True negatives: 1752 ['poi', 'salary_bonus', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'total_payments'] Accuracy: 0.72292 Precision: 0.18189 Recall: 0.22900 F1: 0.20274 F2: 0.21772 Total predictions: 13000 True positives: 458 False positives: 2060 False negatives: 1542 True negatives: 8940 ['poi', 'salary_bonus', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.56293 Precision: 0.21424 Recall: 0.77200 F1: 0.33540 F2: 0.50766 Total predictions: 14000 True positives: 1544 False positives: 5663 False negatives: 456 True negatives: 6337 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.23330 Precision: 0.19994 Recall: 0.94400 F1: 0.32998 F2: 0.54119 Total predictions: 10000 True positives: 1888 False positives: 7555 False negatives: 112 True negatives: 445 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21143 Precision: 0.14229 Recall: 0.89900 F1: 0.24570 F2: 0.43565 Total predictions: 14000 True positives: 1798 False positives: 10838 False negatives: 202 True negatives: 1162 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21064 Precision: 0.18033 Recall: 0.94250 F1: 0.30274 F2: 0.51076 Total predictions: 11000 True positives: 1885 False positives: 8568 False negatives: 115 True negatives: 432 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20318 Precision: 0.17176 Recall: 0.88500 F1: 0.28769 F2: 0.48347 Total predictions: 11000 True positives: 1770 False positives: 8535 False negatives: 230 True negatives: 465 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19283 Precision: 0.16443 Recall: 0.94150 F1: 0.27996 F2: 0.48401 Total predictions: 12000 True positives: 1883 False positives: 9569 False negatives: 117 True negatives: 431 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.22640 Precision: 0.19772 Recall: 0.93800 F1: 0.32660 F2: 0.53637 Total predictions: 10000 True positives: 1876 False positives: 7612 False negatives: 124 True negatives: 388 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22692 Precision: 0.15036 Recall: 0.86550 F1: 0.25622 F2: 0.44357 Total predictions: 13000 True positives: 1731 False positives: 9781 False negatives: 269 True negatives: 1219 ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22277 Precision: 0.15433 Recall: 0.90450 F1: 0.26366 F2: 0.45862 Total predictions: 13000 True positives: 1809 False positives: 9913 False negatives: 191 True negatives: 1087 ['poi', 'salary_bonus', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.83200 Precision: 0.36293 Recall: 0.23300 F1: 0.28380 F2: 0.25097 Total predictions: 14000 True positives: 466 False positives: 818 False negatives: 1534 True negatives: 11182 ['poi', 'salary_bonus', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79145 Precision: 0.32246 Recall: 0.13350 F1: 0.18883 F2: 0.15122 Total predictions: 11000 True positives: 267 False positives: 561 False negatives: 1733 True negatives: 8439 ['poi', 'salary_bonus', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.77855 Precision: 0.26609 Recall: 0.12400 F1: 0.16917 F2: 0.13883 Total predictions: 11000 True positives: 248 False positives: 684 False negatives: 1752 True negatives: 8316 ['poi', 'salary_bonus', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.79000 Precision: 0.24560 Recall: 0.12550 F1: 0.16612 F2: 0.13910 Total predictions: 12000 True positives: 251 False positives: 771 False negatives: 1749 True negatives: 9229 ['poi', 'salary_bonus', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'salary'] Accuracy: 0.77290 Precision: 0.31615 Recall: 0.11650 F1: 0.17026 F2: 0.13334 Total predictions: 10000 True positives: 233 False positives: 504 False negatives: 1767 True negatives: 7496 ['poi', 'salary_bonus', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'total_payments'] Accuracy: 0.81785 Precision: 0.29418 Recall: 0.13150 F1: 0.18176 F2: 0.14785 Total predictions: 13000 True positives: 263 False positives: 631 False negatives: 1737 True negatives: 10369 ['poi', 'salary_bonus', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83554 Precision: 0.43416 Recall: 0.22750 F1: 0.29856 F2: 0.25144 Total predictions: 13000 True positives: 455 False positives: 593 False negatives: 1545 True negatives: 10407 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84407 Precision: 0.41794 Recall: 0.23300 F1: 0.29920 F2: 0.25562 Total predictions: 14000 True positives: 466 False positives: 649 False negatives: 1534 True negatives: 11351 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84536 Precision: 0.42452 Recall: 0.23200 F1: 0.30003 F2: 0.25514 Total predictions: 14000 True positives: 464 False positives: 629 False negatives: 1536 True negatives: 11371 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84807 Precision: 0.44126 Recall: 0.23850 F1: 0.30964 F2: 0.26264 Total predictions: 14000 True positives: 477 False positives: 604 False negatives: 1523 True negatives: 11396 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84414 Precision: 0.41574 Recall: 0.22450 F1: 0.29156 F2: 0.24725 Total predictions: 14000 True positives: 449 False positives: 631 False negatives: 1551 True negatives: 11369 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.84267 Precision: 0.35577 Recall: 0.22200 F1: 0.27340 F2: 0.24005 Total predictions: 15000 True positives: 444 False positives: 804 False negatives: 1556 True negatives: 12196 ['poi', 'salary_bonus', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85000 Precision: 0.45895 Recall: 0.27950 F1: 0.34742 F2: 0.30321 Total predictions: 14000 True positives: 559 False positives: 659 False negatives: 1441 True negatives: 11341 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77827 Precision: 0.24327 Recall: 0.10400 F1: 0.14571 F2: 0.11745 Total predictions: 11000 True positives: 208 False positives: 647 False negatives: 1792 True negatives: 8353 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80746 Precision: 0.22986 Recall: 0.10700 F1: 0.14603 F2: 0.11981 Total predictions: 13000 True positives: 214 False positives: 717 False negatives: 1786 True negatives: 10283 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79500 Precision: 0.31111 Recall: 0.10500 F1: 0.15701 F2: 0.12104 Total predictions: 11000 True positives: 210 False positives: 465 False negatives: 1790 True negatives: 8535 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82892 Precision: 0.33481 Recall: 0.11350 F1: 0.16953 F2: 0.13079 Total predictions: 13000 True positives: 227 False positives: 451 False negatives: 1773 True negatives: 10549 ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84546 Precision: 0.49548 Recall: 0.24650 F1: 0.32922 F2: 0.27404 Total predictions: 13000 True positives: 493 False positives: 502 False negatives: 1507 True negatives: 10498 ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79108 Precision: 0.23288 Recall: 0.11050 F1: 0.14988 F2: 0.12348 Total predictions: 12000 True positives: 221 False positives: 728 False negatives: 1779 True negatives: 9272 ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78891 Precision: 0.28871 Recall: 0.11000 F1: 0.15930 F2: 0.12554 Total predictions: 11000 True positives: 220 False positives: 542 False negatives: 1780 True negatives: 8458 ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83000 Precision: 0.34604 Recall: 0.11800 F1: 0.17599 F2: 0.13591 Total predictions: 13000 True positives: 236 False positives: 446 False negatives: 1764 True negatives: 10554 ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84600 Precision: 0.49897 Recall: 0.24250 F1: 0.32638 F2: 0.27029 Total predictions: 13000 True positives: 485 False positives: 487 False negatives: 1515 True negatives: 10513 ['poi', 'salary_bonus', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'other', 'restricted_stock', 'salary'] Accuracy: 0.79342 Precision: 0.23060 Recall: 0.10250 F1: 0.14192 F2: 0.11531 Total predictions: 12000 True positives: 205 False positives: 684 False negatives: 1795 True negatives: 9316 ['poi', 'salary_bonus', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.82257 Precision: 0.25506 Recall: 0.12600 F1: 0.16867 F2: 0.14019 Total predictions: 14000 True positives: 252 False positives: 736 False negatives: 1748 True negatives: 11264 ['poi', 'salary_bonus', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84529 Precision: 0.42523 Recall: 0.23600 F1: 0.30354 F2: 0.25906 Total predictions: 14000 True positives: 472 False positives: 638 False negatives: 1528 True negatives: 11362 ['poi', 'salary_bonus', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'other', 'salary', 'total_payments'] Accuracy: 0.82431 Precision: 0.31510 Recall: 0.12100 F1: 0.17486 F2: 0.13800 Total predictions: 13000 True positives: 242 False positives: 526 False negatives: 1758 True negatives: 10474 ['poi', 'salary_bonus', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83762 Precision: 0.44331 Recall: 0.21700 F1: 0.29137 F2: 0.24168 Total predictions: 13000 True positives: 434 False positives: 545 False negatives: 1566 True negatives: 10455 ['poi', 'salary_bonus', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84364 Precision: 0.41479 Recall: 0.23000 F1: 0.29592 F2: 0.25250 Total predictions: 14000 True positives: 460 False positives: 649 False negatives: 1540 True negatives: 11351 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.35580 Precision: 0.23691 Recall: 1.00000 F1: 0.38307 F2: 0.60820 Total predictions: 10000 True positives: 2000 False positives: 6442 False negatives: 0 True negatives: 1558 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26036 Precision: 0.16188 Recall: 1.00000 F1: 0.27865 F2: 0.49128 Total predictions: 14000 True positives: 2000 False positives: 10355 False negatives: 0 True negatives: 1645 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.30973 Precision: 0.20062 Recall: 0.93700 F1: 0.33048 F2: 0.54034 Total predictions: 11000 True positives: 1874 False positives: 7467 False negatives: 126 True negatives: 1533 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.27992 Precision: 0.17541 Recall: 0.99450 F1: 0.29822 F2: 0.51425 Total predictions: 13000 True positives: 1989 False positives: 9350 False negatives: 11 True negatives: 1650 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.32400 Precision: 0.21110 Recall: 0.99300 F1: 0.34818 F2: 0.57043 Total predictions: 11000 True positives: 1986 False positives: 7422 False negatives: 14 True negatives: 1578 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.26086 Precision: 0.16197 Recall: 1.00000 F1: 0.27878 F2: 0.49145 Total predictions: 14000 True positives: 2000 False positives: 10348 False negatives: 0 True negatives: 1652 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.57157 Precision: 0.22034 Recall: 0.78750 F1: 0.34434 F2: 0.51987 Total predictions: 14000 True positives: 1575 False positives: 5573 False negatives: 425 True negatives: 6427 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.31100 Precision: 0.20092 Recall: 0.93700 F1: 0.33089 F2: 0.54077 Total predictions: 11000 True positives: 1874 False positives: 7453 False negatives: 126 True negatives: 1547 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.28015 Precision: 0.17546 Recall: 0.99450 F1: 0.29829 F2: 0.51433 Total predictions: 13000 True positives: 1989 False positives: 9347 False negatives: 11 True negatives: 1653 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'salary'] Accuracy: 0.32436 Precision: 0.21119 Recall: 0.99300 F1: 0.34830 F2: 0.57056 Total predictions: 11000 True positives: 1986 False positives: 7418 False negatives: 14 True negatives: 1582 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.73038 Precision: 0.22961 Recall: 0.31950 F1: 0.26720 F2: 0.29630 Total predictions: 13000 True positives: 639 False positives: 2144 False negatives: 1361 True negatives: 8856 ['poi', 'salary_bonus', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.40736 Precision: 0.18524 Recall: 0.92650 F1: 0.30876 F2: 0.51464 Total predictions: 14000 True positives: 1853 False positives: 8150 False negatives: 147 True negatives: 3850 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.55843 Precision: 0.21667 Recall: 0.79950 F1: 0.34094 F2: 0.51983 Total predictions: 14000 True positives: 1599 False positives: 5781 False negatives: 401 True negatives: 6219 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.46133 Precision: 0.19342 Recall: 0.95900 F1: 0.32192 F2: 0.53528 Total predictions: 15000 True positives: 1918 False positives: 7998 False negatives: 82 True negatives: 5002 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.75747 Precision: 0.24374 Recall: 0.38950 F1: 0.29985 F2: 0.34789 Total predictions: 15000 True positives: 779 False positives: 2417 False negatives: 1221 True negatives: 10583 ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.70050 Precision: 0.23762 Recall: 0.49650 F1: 0.32141 F2: 0.40767 Total predictions: 14000 True positives: 993 False positives: 3186 False negatives: 1007 True negatives: 8814 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.29558 Precision: 0.18396 Recall: 0.93900 F1: 0.30764 F2: 0.51568 Total predictions: 12000 True positives: 1878 False positives: 8331 False negatives: 122 True negatives: 1669 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27354 Precision: 0.17465 Recall: 0.99900 F1: 0.29732 F2: 0.51389 Total predictions: 13000 True positives: 1998 False positives: 9442 False negatives: 2 True negatives: 1558 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28392 Precision: 0.17576 Recall: 0.99050 F1: 0.29855 F2: 0.51398 Total predictions: 13000 True positives: 1981 False positives: 9290 False negatives: 19 True negatives: 1710 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.71471 Precision: 0.26486 Recall: 0.56150 F1: 0.35994 F2: 0.45874 Total predictions: 14000 True positives: 1123 False positives: 3117 False negatives: 877 True negatives: 8883 ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.25964 Precision: 0.16175 Recall: 1.00000 F1: 0.27845 F2: 0.49104 Total predictions: 14000 True positives: 2000 False positives: 10365 False negatives: 0 True negatives: 1635 ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.26815 Precision: 0.16622 Recall: 0.93550 F1: 0.28229 F2: 0.48582 Total predictions: 13000 True positives: 1871 False positives: 9385 False negatives: 129 True negatives: 1615 ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28958 Precision: 0.18223 Recall: 0.93550 F1: 0.30505 F2: 0.51213 Total predictions: 12000 True positives: 1871 False positives: 8396 False negatives: 129 True negatives: 1604 ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.71421 Precision: 0.25229 Recall: 0.50950 F1: 0.33747 F2: 0.42321 Total predictions: 14000 True positives: 1019 False positives: 3020 False negatives: 981 True negatives: 8980 ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.26079 Precision: 0.16196 Recall: 1.00000 F1: 0.27877 F2: 0.49142 Total predictions: 14000 True positives: 2000 False positives: 10349 False negatives: 0 True negatives: 1651 ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.27515 Precision: 0.17486 Recall: 0.99800 F1: 0.29758 F2: 0.51404 Total predictions: 13000 True positives: 1996 False positives: 9419 False negatives: 4 True negatives: 1581 ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.72336 Precision: 0.20128 Recall: 0.31550 F1: 0.24576 F2: 0.28334 Total predictions: 14000 True positives: 631 False positives: 2504 False negatives: 1369 True negatives: 9496 ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.46036 Precision: 0.19272 Recall: 0.87100 F1: 0.31561 F2: 0.51118 Total predictions: 14000 True positives: 1742 False positives: 7297 False negatives: 258 True negatives: 4703 ['poi', 'salary_bonus', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.69969 Precision: 0.22438 Recall: 0.38750 F1: 0.28420 F2: 0.33831 Total predictions: 13000 True positives: 775 False positives: 2679 False negatives: 1225 True negatives: 8321 ['poi', 'salary_bonus', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.31907 Precision: 0.17211 Recall: 0.98850 F1: 0.29317 F2: 0.50726 Total predictions: 14000 True positives: 1977 False positives: 9510 False negatives: 23 True negatives: 2490 ['poi', 'salary_bonus', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74443 Precision: 0.26018 Recall: 0.42800 F1: 0.32363 F2: 0.37910 Total predictions: 14000 True positives: 856 False positives: 2434 False negatives: 1144 True negatives: 9566 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.23915 Precision: 0.16124 Recall: 0.93900 F1: 0.27523 F2: 0.47794 Total predictions: 13000 True positives: 1878 False positives: 9769 False negatives: 122 True negatives: 1231 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.21973 Precision: 0.18898 Recall: 1.00000 F1: 0.31789 F2: 0.53813 Total predictions: 11000 True positives: 2000 False positives: 8583 False negatives: 0 True negatives: 417 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.22940 Precision: 0.19784 Recall: 0.93400 F1: 0.32652 F2: 0.53549 Total predictions: 10000 True positives: 1868 False positives: 7574 False negatives: 132 True negatives: 426 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.20325 Precision: 0.17237 Recall: 0.99450 F1: 0.29382 F2: 0.50898 Total predictions: 12000 True positives: 1989 False positives: 9550 False negatives: 11 True negatives: 450 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.23550 Precision: 0.20602 Recall: 0.98900 F1: 0.34101 F2: 0.56190 Total predictions: 10000 True positives: 1978 False positives: 7623 False negatives: 22 True negatives: 377 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22477 Precision: 0.15073 Recall: 0.87150 F1: 0.25700 F2: 0.44546 Total predictions: 13000 True positives: 1743 False positives: 9821 False negatives: 257 True negatives: 1179 ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.24977 Precision: 0.16212 Recall: 0.93000 F1: 0.27611 F2: 0.47758 Total predictions: 13000 True positives: 1860 False positives: 9613 False negatives: 140 True negatives: 1387 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.21593 Precision: 0.14996 Recall: 0.96150 F1: 0.25946 F2: 0.46175 Total predictions: 14000 True positives: 1923 False positives: 10900 False negatives: 77 True negatives: 1100 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.21621 Precision: 0.14859 Recall: 0.94850 F1: 0.25692 F2: 0.45673 Total predictions: 14000 True positives: 1897 False positives: 10870 False negatives: 103 True negatives: 1130 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.23354 Precision: 0.16024 Recall: 0.93900 F1: 0.27376 F2: 0.47617 Total predictions: 13000 True positives: 1878 False positives: 9842 False negatives: 122 True negatives: 1158 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.22400 Precision: 0.15119 Recall: 0.96050 F1: 0.26125 F2: 0.46388 Total predictions: 14000 True positives: 1921 False positives: 10785 False negatives: 79 True negatives: 1215 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22767 Precision: 0.13458 Recall: 0.88250 F1: 0.23354 F2: 0.41795 Total predictions: 15000 True positives: 1765 False positives: 11350 False negatives: 235 True negatives: 1650 ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.24185 Precision: 0.16138 Recall: 0.93600 F1: 0.27529 F2: 0.47755 Total predictions: 13000 True positives: 1872 False positives: 9728 False negatives: 128 True negatives: 1272 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.20927 Precision: 0.17903 Recall: 0.93400 F1: 0.30047 F2: 0.50667 Total predictions: 11000 True positives: 1868 False positives: 8566 False negatives: 132 True negatives: 434 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.19883 Precision: 0.17187 Recall: 0.99700 F1: 0.29319 F2: 0.50862 Total predictions: 12000 True positives: 1994 False positives: 9608 False negatives: 6 True negatives: 392 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.21591 Precision: 0.18706 Recall: 0.99000 F1: 0.31466 F2: 0.53269 Total predictions: 11000 True positives: 1980 False positives: 8605 False negatives: 20 True negatives: 395 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21521 Precision: 0.14026 Recall: 0.87600 F1: 0.24181 F2: 0.42750 Total predictions: 14000 True positives: 1752 False positives: 10739 False negatives: 248 True negatives: 1261 ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.21885 Precision: 0.16198 Recall: 0.97700 F1: 0.27789 F2: 0.48697 Total predictions: 13000 True positives: 1954 False positives: 10109 False negatives: 46 True negatives: 891 ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.19258 Precision: 0.16462 Recall: 0.94350 F1: 0.28032 F2: 0.48477 Total predictions: 12000 True positives: 1887 False positives: 9576 False negatives: 113 True negatives: 424 ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20645 Precision: 0.17764 Recall: 0.92700 F1: 0.29814 F2: 0.50279 Total predictions: 11000 True positives: 1854 False positives: 8583 False negatives: 146 True negatives: 417 ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22838 Precision: 0.15164 Recall: 0.87400 F1: 0.25845 F2: 0.44759 Total predictions: 13000 True positives: 1748 False positives: 9779 False negatives: 252 True negatives: 1221 ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.22323 Precision: 0.16179 Recall: 0.96850 F1: 0.27727 F2: 0.48493 Total predictions: 13000 True positives: 1937 False positives: 10035 False negatives: 63 True negatives: 965 ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.19900 Precision: 0.17167 Recall: 0.99500 F1: 0.29282 F2: 0.50786 Total predictions: 12000 True positives: 1990 False positives: 9602 False negatives: 10 True negatives: 398 ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.20914 Precision: 0.13948 Recall: 0.87750 F1: 0.24071 F2: 0.42634 Total predictions: 14000 True positives: 1755 False positives: 10827 False negatives: 245 True negatives: 1173 ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.23254 Precision: 0.16029 Recall: 0.94100 F1: 0.27392 F2: 0.47667 Total predictions: 13000 True positives: 1882 False positives: 9859 False negatives: 118 True negatives: 1141 ['poi', 'salary_bonus', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22354 Precision: 0.15028 Recall: 0.86950 F1: 0.25626 F2: 0.44426 Total predictions: 13000 True positives: 1739 False positives: 9833 False negatives: 261 True negatives: 1167 ['poi', 'salary_bonus', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.23415 Precision: 0.16156 Recall: 0.94950 F1: 0.27614 F2: 0.48066 Total predictions: 13000 True positives: 1899 False positives: 9855 False negatives: 101 True negatives: 1145 ['poi', 'salary_bonus', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22671 Precision: 0.14371 Recall: 0.89000 F1: 0.24746 F2: 0.43657 Total predictions: 14000 True positives: 1780 False positives: 10606 False negatives: 220 True negatives: 1394 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83938 Precision: 0.46982 Recall: 0.34250 F1: 0.39618 F2: 0.36213 Total predictions: 13000 True positives: 685 False positives: 773 False negatives: 1315 True negatives: 10227 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83577 Precision: 0.44936 Recall: 0.29950 F1: 0.35944 F2: 0.32090 Total predictions: 13000 True positives: 599 False positives: 734 False negatives: 1401 True negatives: 10266 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.83600 Precision: 0.45008 Recall: 0.29750 F1: 0.35822 F2: 0.31914 Total predictions: 13000 True positives: 595 False positives: 727 False negatives: 1405 True negatives: 10273 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.83915 Precision: 0.46856 Recall: 0.33900 F1: 0.39339 F2: 0.35884 Total predictions: 13000 True positives: 678 False positives: 769 False negatives: 1322 True negatives: 10231 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84353 Precision: 0.36906 Recall: 0.24450 F1: 0.29414 F2: 0.26220 Total predictions: 15000 True positives: 489 False positives: 836 False negatives: 1511 True negatives: 12164 ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84015 Precision: 0.47383 Recall: 0.35300 F1: 0.40458 F2: 0.37197 Total predictions: 13000 True positives: 706 False positives: 784 False negatives: 1294 True negatives: 10216 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77380 Precision: 0.36093 Recall: 0.17000 F1: 0.23114 F2: 0.19011 Total predictions: 10000 True positives: 340 False positives: 602 False negatives: 1660 True negatives: 7398 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81167 Precision: 0.39516 Recall: 0.24500 F1: 0.30247 F2: 0.26515 Total predictions: 12000 True positives: 490 False positives: 750 False negatives: 1510 True negatives: 9250 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80745 Precision: 0.44158 Recall: 0.22300 F1: 0.29635 F2: 0.24750 Total predictions: 11000 True positives: 446 False positives: 564 False negatives: 1554 True negatives: 8436 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82500 Precision: 0.35326 Recall: 0.16550 F1: 0.22540 F2: 0.18519 Total predictions: 13000 True positives: 331 False positives: 606 False negatives: 1669 True negatives: 10394 ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83785 Precision: 0.45940 Recall: 0.30550 F1: 0.36697 F2: 0.32744 Total predictions: 13000 True positives: 611 False positives: 719 False negatives: 1389 True negatives: 10281 ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79167 Precision: 0.29027 Recall: 0.17300 F1: 0.21679 F2: 0.18821 Total predictions: 12000 True positives: 346 False positives: 846 False negatives: 1654 True negatives: 9154 ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78427 Precision: 0.32389 Recall: 0.17150 F1: 0.22426 F2: 0.18931 Total predictions: 11000 True positives: 343 False positives: 716 False negatives: 1657 True negatives: 8284 ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82085 Precision: 0.32918 Recall: 0.15850 F1: 0.21397 F2: 0.17684 Total predictions: 13000 True positives: 317 False positives: 646 False negatives: 1683 True negatives: 10354 ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83546 Precision: 0.44453 Recall: 0.27850 F1: 0.34245 F2: 0.30098 Total predictions: 13000 True positives: 557 False positives: 696 False negatives: 1443 True negatives: 10304 ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.80975 Precision: 0.38814 Recall: 0.24550 F1: 0.30077 F2: 0.26498 Total predictions: 12000 True positives: 491 False positives: 774 False negatives: 1509 True negatives: 9226 ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82129 Precision: 0.27428 Recall: 0.15250 F1: 0.19602 F2: 0.16736 Total predictions: 14000 True positives: 305 False positives: 807 False negatives: 1695 True negatives: 11193 ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83377 Precision: 0.43970 Recall: 0.29350 F1: 0.35202 F2: 0.31441 Total predictions: 13000 True positives: 587 False positives: 748 False negatives: 1413 True negatives: 10252 ['poi', 'salary_bonus', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82131 Precision: 0.32578 Recall: 0.15100 F1: 0.20635 F2: 0.16915 Total predictions: 13000 True positives: 302 False positives: 625 False negatives: 1698 True negatives: 10375 ['poi', 'salary_bonus', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.83823 Precision: 0.46451 Recall: 0.33700 F1: 0.39061 F2: 0.35658 Total predictions: 13000 True positives: 674 False positives: 777 False negatives: 1326 True negatives: 10223 ['poi', 'salary_bonus', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84471 Precision: 0.42435 Recall: 0.24400 F1: 0.30984 F2: 0.26667 Total predictions: 14000 True positives: 488 False positives: 662 False negatives: 1512 True negatives: 11338 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.84700 Precision: 0.50496 Recall: 0.28000 F1: 0.36024 F2: 0.30739 Total predictions: 13000 True positives: 560 False positives: 549 False negatives: 1440 True negatives: 10451 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.85607 Precision: 0.49360 Recall: 0.28900 F1: 0.36455 F2: 0.31512 Total predictions: 14000 True positives: 578 False positives: 593 False negatives: 1422 True negatives: 11407 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83923 Precision: 0.46269 Recall: 0.27900 F1: 0.34810 F2: 0.30306 Total predictions: 13000 True positives: 558 False positives: 648 False negatives: 1442 True negatives: 10352 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85360 Precision: 0.41187 Recall: 0.22900 F1: 0.29434 F2: 0.25132 Total predictions: 15000 True positives: 458 False positives: 654 False negatives: 1542 True negatives: 12346 ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84746 Precision: 0.50667 Recall: 0.32300 F1: 0.39450 F2: 0.34825 Total predictions: 13000 True positives: 646 False positives: 629 False negatives: 1354 True negatives: 10371 ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85721 Precision: 0.50044 Recall: 0.28600 F1: 0.36398 F2: 0.31281 Total predictions: 14000 True positives: 572 False positives: 571 False negatives: 1428 True negatives: 11429 ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.84864 Precision: 0.45167 Recall: 0.27800 F1: 0.34417 F2: 0.30116 Total predictions: 14000 True positives: 556 False positives: 675 False negatives: 1444 True negatives: 11325 ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85420 Precision: 0.41523 Recall: 0.22900 F1: 0.29520 F2: 0.25157 Total predictions: 15000 True positives: 458 False positives: 645 False negatives: 1542 True negatives: 12355 ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84900 Precision: 0.51474 Recall: 0.32300 F1: 0.39693 F2: 0.34900 Total predictions: 13000 True positives: 646 False positives: 609 False negatives: 1354 True negatives: 10391 ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.85350 Precision: 0.47837 Recall: 0.28200 F1: 0.35483 F2: 0.30722 Total predictions: 14000 True positives: 564 False positives: 615 False negatives: 1436 True negatives: 11385 ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85900 Precision: 0.44368 Recall: 0.22650 F1: 0.29990 F2: 0.25108 Total predictions: 15000 True positives: 453 False positives: 568 False negatives: 1547 True negatives: 12432 ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84685 Precision: 0.50352 Recall: 0.32150 F1: 0.39243 F2: 0.34656 Total predictions: 13000 True positives: 643 False positives: 634 False negatives: 1357 True negatives: 10366 ['poi', 'salary_bonus', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.85287 Precision: 0.40816 Recall: 0.23000 F1: 0.29421 F2: 0.25200 Total predictions: 15000 True positives: 460 False positives: 667 False negatives: 1540 True negatives: 12333 ['poi', 'salary_bonus', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.85023 Precision: 0.52142 Recall: 0.32250 F1: 0.39852 F2: 0.34914 Total predictions: 13000 True positives: 645 False positives: 592 False negatives: 1355 True negatives: 10408 ['poi', 'salary_bonus', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86013 Precision: 0.45724 Recall: 0.26200 F1: 0.33312 F2: 0.28646 Total predictions: 15000 True positives: 524 False positives: 622 False negatives: 1476 True negatives: 12378 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79475 Precision: 0.30197 Recall: 0.17650 F1: 0.22278 F2: 0.19250 Total predictions: 12000 True positives: 353 False positives: 816 False negatives: 1647 True negatives: 9184 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78645 Precision: 0.32392 Recall: 0.16050 F1: 0.21464 F2: 0.17851 Total predictions: 11000 True positives: 321 False positives: 670 False negatives: 1679 True negatives: 8330 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83821 Precision: 0.31206 Recall: 0.11000 F1: 0.16266 F2: 0.12636 Total predictions: 14000 True positives: 220 False positives: 485 False negatives: 1780 True negatives: 11515 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84469 Precision: 0.49164 Recall: 0.27950 F1: 0.35639 F2: 0.30590 Total predictions: 13000 True positives: 559 False positives: 578 False negatives: 1441 True negatives: 10422 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81200 Precision: 0.36777 Recall: 0.17800 F1: 0.23989 F2: 0.19848 Total predictions: 12000 True positives: 356 False positives: 612 False negatives: 1644 True negatives: 9388 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82479 Precision: 0.25354 Recall: 0.11650 F1: 0.15964 F2: 0.13062 Total predictions: 14000 True positives: 233 False positives: 686 False negatives: 1767 True negatives: 11314 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85243 Precision: 0.47317 Recall: 0.29100 F1: 0.36037 F2: 0.31528 Total predictions: 14000 True positives: 582 False positives: 648 False negatives: 1418 True negatives: 11352 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82562 Precision: 0.32271 Recall: 0.12150 F1: 0.17653 F2: 0.13881 Total predictions: 13000 True positives: 243 False positives: 510 False negatives: 1757 True negatives: 10490 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.84154 Precision: 0.47545 Recall: 0.29050 F1: 0.36065 F2: 0.31501 Total predictions: 13000 True positives: 581 False positives: 641 False negatives: 1419 True negatives: 10359 ['poi', 'salary_bonus', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85321 Precision: 0.47191 Recall: 0.23100 F1: 0.31017 F2: 0.25727 Total predictions: 14000 True positives: 462 False positives: 517 False negatives: 1538 True negatives: 11483 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.79650 Precision: 0.30303 Recall: 0.17000 F1: 0.21781 F2: 0.18636 Total predictions: 12000 True positives: 340 False positives: 782 False negatives: 1660 True negatives: 9218 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82664 Precision: 0.27018 Recall: 0.12550 F1: 0.17139 F2: 0.14055 Total predictions: 14000 True positives: 251 False positives: 678 False negatives: 1749 True negatives: 11322 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85664 Precision: 0.49697 Recall: 0.28700 F1: 0.36387 F2: 0.31349 Total predictions: 14000 True positives: 574 False positives: 581 False negatives: 1426 True negatives: 11419 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.82769 Precision: 0.34169 Recall: 0.12950 F1: 0.18782 F2: 0.14786 Total predictions: 13000 True positives: 259 False positives: 499 False negatives: 1741 True negatives: 10501 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84269 Precision: 0.48111 Recall: 0.28650 F1: 0.35914 F2: 0.31172 Total predictions: 13000 True positives: 573 False positives: 618 False negatives: 1427 True negatives: 10382 ['poi', 'salary_bonus', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85414 Precision: 0.47853 Recall: 0.23400 F1: 0.31430 F2: 0.26064 Total predictions: 14000 True positives: 468 False positives: 510 False negatives: 1532 True negatives: 11490 ['poi', 'salary_bonus', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82536 Precision: 0.27133 Recall: 0.13200 F1: 0.17760 F2: 0.14711 Total predictions: 14000 True positives: 264 False positives: 709 False negatives: 1736 True negatives: 11291 ['poi', 'salary_bonus', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.84864 Precision: 0.45221 Recall: 0.28150 F1: 0.34700 F2: 0.30449 Total predictions: 14000 True positives: 563 False positives: 682 False negatives: 1437 True negatives: 11318 ['poi', 'salary_bonus', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85707 Precision: 0.43090 Recall: 0.22450 F1: 0.29520 F2: 0.24829 Total predictions: 15000 True positives: 449 False positives: 593 False negatives: 1551 True negatives: 12407 ['poi', 'salary_bonus', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'salary_bonus', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84957 Precision: 0.44904 Recall: 0.23350 F1: 0.30724 F2: 0.25830 Total predictions: 14000 True positives: 467 False positives: 573 False negatives: 1533 True negatives: 11427 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'long_term_incentive'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'long_term_incentive'] Accuracy: 0.82546 Precision: 0.38171 Recall: 0.21700 F1: 0.27670 F2: 0.23750 Total predictions: 13000 True positives: 434 False positives: 703 False negatives: 1566 True negatives: 10297 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'restricted_stock_deferred'] Accuracy: 0.30485 Precision: 0.17436 Recall: 0.94200 F1: 0.29426 F2: 0.50093 Total predictions: 13000 True positives: 1884 False positives: 8921 False negatives: 116 True negatives: 2079 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'shared_receipt_with_poi'] Accuracy: 0.81364 Precision: 0.27494 Recall: 0.18600 F1: 0.22189 F2: 0.19887 Total predictions: 14000 True positives: 372 False positives: 981 False negatives: 1628 True negatives: 11019 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_messages'] Accuracy: 0.80264 Precision: 0.27251 Recall: 0.22850 F1: 0.24857 F2: 0.23613 Total predictions: 14000 True positives: 457 False positives: 1220 False negatives: 1543 True negatives: 10780 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'other'] Accuracy: 0.82815 Precision: 0.34060 Recall: 0.12500 F1: 0.18288 F2: 0.14312 Total predictions: 13000 True positives: 250 False positives: 484 False negatives: 1750 True negatives: 10516 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'director_fees'] Accuracy: 0.31400 Precision: 0.18809 Recall: 0.93950 F1: 0.31343 F2: 0.52223 Total predictions: 12000 True positives: 1879 False positives: 8111 False negatives: 121 True negatives: 1889 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'resto_dirfees'] Accuracy: 0.21775 Precision: 0.16913 Recall: 0.94400 F1: 0.28686 F2: 0.49262 Total predictions: 12000 True positives: 1888 False positives: 9275 False negatives: 112 True negatives: 725 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'bonus'] Accuracy: 0.85092 Precision: 0.52793 Recall: 0.29300 F1: 0.37685 F2: 0.32162 Total predictions: 13000 True positives: 586 False positives: 524 False negatives: 1414 True negatives: 10476 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'total_stock_value'] Accuracy: 0.86664 Precision: 0.55385 Recall: 0.34200 F1: 0.42287 F2: 0.37033 Total predictions: 14000 True positives: 684 False positives: 551 False negatives: 1316 True negatives: 11449 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_poi_to_this_person'] Accuracy: 0.81962 Precision: 0.34473 Recall: 0.19150 F1: 0.24622 F2: 0.21019 Total predictions: 13000 True positives: 383 False positives: 728 False negatives: 1617 True negatives: 10272 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'from_this_person_to_poi'] Accuracy: 0.82300 Precision: 0.34995 Recall: 0.17550 F1: 0.23377 F2: 0.19494 Total predictions: 13000 True positives: 351 False positives: 652 False negatives: 1649 True negatives: 10348 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'restricted_stock'] Accuracy: 0.85443 Precision: 0.48291 Recall: 0.26850 F1: 0.34512 F2: 0.29467 Total predictions: 14000 True positives: 537 False positives: 575 False negatives: 1463 True negatives: 11425 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'salary'] Accuracy: 0.84569 Precision: 0.49723 Recall: 0.26900 F1: 0.34912 F2: 0.29619 Total predictions: 13000 True positives: 538 False positives: 544 False negatives: 1462 True negatives: 10456 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'total_payments'] Accuracy: 0.83154 Precision: 0.34921 Recall: 0.11000 F1: 0.16730 F2: 0.12746 Total predictions: 13000 True positives: 220 False positives: 410 False negatives: 1780 True negatives: 10590 ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'deferred_income', 'exercised_stock_options'] Accuracy: 0.86650 Precision: 0.55321 Recall: 0.34050 F1: 0.42154 F2: 0.36887 Total predictions: 14000 True positives: 681 False positives: 550 False negatives: 1319 True negatives: 11450 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.30700 Precision: 0.17482 Recall: 0.94200 F1: 0.29490 F2: 0.50168 Total predictions: 13000 True positives: 1884 False positives: 8893 False negatives: 116 True negatives: 2107 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.79869 Precision: 0.28709 Recall: 0.20800 F1: 0.24123 F2: 0.22013 Total predictions: 13000 True positives: 416 False positives: 1033 False negatives: 1584 True negatives: 9967 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_messages'] Accuracy: 0.78008 Precision: 0.31383 Recall: 0.36200 F1: 0.33620 F2: 0.35122 Total predictions: 13000 True positives: 724 False positives: 1583 False negatives: 1276 True negatives: 9417 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'other'] Accuracy: 0.79167 Precision: 0.16216 Recall: 0.06000 F1: 0.08759 F2: 0.06865 Total predictions: 12000 True positives: 120 False positives: 620 False negatives: 1880 True negatives: 9380 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'director_fees'] Accuracy: 0.30715 Precision: 0.17424 Recall: 0.93700 F1: 0.29385 F2: 0.49960 Total predictions: 13000 True positives: 1874 False positives: 8881 False negatives: 126 True negatives: 2119 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.22867 Precision: 0.17114 Recall: 0.94400 F1: 0.28975 F2: 0.49601 Total predictions: 12000 True positives: 1888 False positives: 9144 False negatives: 112 True negatives: 856 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'bonus'] Accuracy: 0.81375 Precision: 0.39629 Recall: 0.22450 F1: 0.28663 F2: 0.24581 Total predictions: 12000 True positives: 449 False positives: 684 False negatives: 1551 True negatives: 9316 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.85579 Precision: 0.49206 Recall: 0.29450 F1: 0.36847 F2: 0.32021 Total predictions: 14000 True positives: 589 False positives: 608 False negatives: 1411 True negatives: 11392 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.80977 Precision: 0.30503 Recall: 0.18500 F1: 0.23031 F2: 0.20080 Total predictions: 13000 True positives: 370 False positives: 843 False negatives: 1630 True negatives: 10157 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.79708 Precision: 0.19089 Recall: 0.09850 F1: 0.12995 F2: 0.10906 Total predictions: 13000 True positives: 197 False positives: 835 False negatives: 1803 True negatives: 10165 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.83593 Precision: 0.35427 Recall: 0.18050 F1: 0.23915 F2: 0.20013 Total predictions: 14000 True positives: 361 False positives: 658 False negatives: 1639 True negatives: 11342 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'salary'] Accuracy: 0.81017 Precision: 0.38933 Recall: 0.24450 F1: 0.30037 F2: 0.26415 Total predictions: 12000 True positives: 489 False positives: 767 False negatives: 1511 True negatives: 9233 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'total_payments'] Accuracy: 0.82246 Precision: 0.24919 Recall: 0.07650 F1: 0.11706 F2: 0.08881 Total predictions: 13000 True positives: 153 False positives: 461 False negatives: 1847 True negatives: 10539 ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.85400 Precision: 0.48203 Recall: 0.29500 F1: 0.36600 F2: 0.31982 Total predictions: 14000 True positives: 590 False positives: 634 False negatives: 1410 True negatives: 11366 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.28536 Precision: 0.16072 Recall: 0.94800 F1: 0.27484 F2: 0.47886 Total predictions: 14000 True positives: 1896 False positives: 9901 False negatives: 104 True negatives: 2099 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.30114 Precision: 0.15751 Recall: 0.89500 F1: 0.26788 F2: 0.46220 Total predictions: 14000 True positives: 1790 False positives: 9574 False negatives: 210 True negatives: 2426 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'other'] Accuracy: 0.29331 Precision: 0.16400 Recall: 0.87700 F1: 0.27633 F2: 0.46911 Total predictions: 13000 True positives: 1754 False positives: 8941 False negatives: 246 True negatives: 2059 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.39800 Precision: 0.19637 Recall: 0.94200 F1: 0.32500 F2: 0.53541 Total predictions: 13000 True positives: 1884 False positives: 7710 False negatives: 116 True negatives: 3290 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31758 Precision: 0.18865 Recall: 0.93750 F1: 0.31410 F2: 0.52260 Total predictions: 12000 True positives: 1875 False positives: 8064 False negatives: 125 True negatives: 1936 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.30746 Precision: 0.17491 Recall: 0.94200 F1: 0.29504 F2: 0.50184 Total predictions: 13000 True positives: 1884 False positives: 8887 False negatives: 116 True negatives: 2113 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.28436 Precision: 0.15978 Recall: 0.94150 F1: 0.27320 F2: 0.47587 Total predictions: 14000 True positives: 1883 False positives: 9902 False negatives: 117 True negatives: 2098 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.30069 Precision: 0.17374 Recall: 0.94400 F1: 0.29346 F2: 0.50034 Total predictions: 13000 True positives: 1888 False positives: 8979 False negatives: 112 True negatives: 2021 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.29692 Precision: 0.16579 Recall: 0.88550 F1: 0.27929 F2: 0.47399 Total predictions: 13000 True positives: 1771 False positives: 8911 False negatives: 229 True negatives: 2089 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28521 Precision: 0.15936 Recall: 0.93650 F1: 0.27238 F2: 0.47411 Total predictions: 14000 True positives: 1873 False positives: 9880 False negatives: 127 True negatives: 2120 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30208 Precision: 0.17288 Recall: 0.93450 F1: 0.29178 F2: 0.49678 Total predictions: 13000 True positives: 1869 False positives: 8942 False negatives: 131 True negatives: 2058 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.29223 Precision: 0.16547 Recall: 0.89050 F1: 0.27909 F2: 0.47460 Total predictions: 13000 True positives: 1781 False positives: 8982 False negatives: 219 True negatives: 2018 ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28150 Precision: 0.15930 Recall: 0.94200 F1: 0.27251 F2: 0.47511 Total predictions: 14000 True positives: 1884 False positives: 9943 False negatives: 116 True negatives: 2057 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.71323 Precision: 0.17470 Recall: 0.23200 F1: 0.19931 F2: 0.21772 Total predictions: 13000 True positives: 464 False positives: 2192 False negatives: 1536 True negatives: 8808 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'other'] Accuracy: 0.78038 Precision: 0.03583 Recall: 0.01650 F1: 0.02260 F2: 0.01850 Total predictions: 13000 True positives: 33 False positives: 888 False negatives: 1967 True negatives: 10112 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29486 Precision: 0.16226 Recall: 0.94550 F1: 0.27699 F2: 0.48107 Total predictions: 14000 True positives: 1891 False positives: 9763 False negatives: 109 True negatives: 2237 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21146 Precision: 0.15629 Recall: 0.93800 F1: 0.26794 F2: 0.46893 Total predictions: 13000 True positives: 1876 False positives: 10127 False negatives: 124 True negatives: 873 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80692 Precision: 0.30202 Recall: 0.19450 F1: 0.23662 F2: 0.20941 Total predictions: 13000 True positives: 389 False positives: 899 False negatives: 1611 True negatives: 10101 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84343 Precision: 0.42523 Recall: 0.27300 F1: 0.33252 F2: 0.29405 Total predictions: 14000 True positives: 546 False positives: 738 False negatives: 1454 True negatives: 11262 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.75638 Precision: 0.12572 Recall: 0.09800 F1: 0.11014 F2: 0.10252 Total predictions: 13000 True positives: 196 False positives: 1363 False negatives: 1804 True negatives: 9637 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.77169 Precision: 0.06000 Recall: 0.03300 F1: 0.04258 F2: 0.03626 Total predictions: 13000 True positives: 66 False positives: 1034 False negatives: 1934 True negatives: 9966 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.80171 Precision: 0.19449 Recall: 0.12350 F1: 0.15107 F2: 0.13323 Total predictions: 14000 True positives: 247 False positives: 1023 False negatives: 1753 True negatives: 10977 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.78815 Precision: 0.21824 Recall: 0.14600 F1: 0.17496 F2: 0.15635 Total predictions: 13000 True positives: 292 False positives: 1046 False negatives: 1708 True negatives: 9954 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82171 Precision: 0.16027 Recall: 0.05850 F1: 0.08571 F2: 0.06701 Total predictions: 14000 True positives: 117 False positives: 613 False negatives: 1883 True negatives: 11387 ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.84057 Precision: 0.41570 Recall: 0.28600 F1: 0.33886 F2: 0.30503 Total predictions: 14000 True positives: 572 False positives: 804 False negatives: 1428 True negatives: 11196 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'other'] Accuracy: 0.74977 Precision: 0.12995 Recall: 0.11000 F1: 0.11914 F2: 0.11348 Total predictions: 13000 True positives: 220 False positives: 1473 False negatives: 1780 True negatives: 9527 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'director_fees'] Accuracy: 0.31271 Precision: 0.15888 Recall: 0.88750 F1: 0.26951 F2: 0.46291 Total predictions: 14000 True positives: 1775 False positives: 9397 False negatives: 225 True negatives: 2603 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'resto_dirfees'] Accuracy: 0.22962 Precision: 0.15372 Recall: 0.88950 F1: 0.26214 F2: 0.45445 Total predictions: 13000 True positives: 1779 False positives: 9794 False negatives: 221 True negatives: 1206 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'bonus'] Accuracy: 0.76723 Precision: 0.21657 Recall: 0.19600 F1: 0.20577 F2: 0.19980 Total predictions: 13000 True positives: 392 False positives: 1418 False negatives: 1608 True negatives: 9582 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'total_stock_value'] Accuracy: 0.85043 Precision: 0.46160 Recall: 0.28250 F1: 0.35050 F2: 0.30627 Total predictions: 14000 True positives: 565 False positives: 659 False negatives: 1435 True negatives: 11341 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.69831 Precision: 0.15432 Recall: 0.21450 F1: 0.17950 F2: 0.19898 Total predictions: 13000 True positives: 429 False positives: 2351 False negatives: 1571 True negatives: 8649 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.72385 Precision: 0.10050 Recall: 0.10000 F1: 0.10025 F2: 0.10010 Total predictions: 13000 True positives: 200 False positives: 1790 False negatives: 1800 True negatives: 9210 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'restricted_stock'] Accuracy: 0.79350 Precision: 0.24293 Recall: 0.21050 F1: 0.22556 F2: 0.21627 Total predictions: 14000 True positives: 421 False positives: 1312 False negatives: 1579 True negatives: 10688 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'salary'] Accuracy: 0.75977 Precision: 0.25100 Recall: 0.28300 F1: 0.26604 F2: 0.27596 Total predictions: 13000 True positives: 566 False positives: 1689 False negatives: 1434 True negatives: 9311 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'total_payments'] Accuracy: 0.82157 Precision: 0.15608 Recall: 0.05650 F1: 0.08297 F2: 0.06476 Total predictions: 14000 True positives: 113 False positives: 611 False negatives: 1887 True negatives: 11389 ['poi', 'deferral_payments', 'expenses', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84714 Precision: 0.44689 Recall: 0.29450 F1: 0.35503 F2: 0.31605 Total predictions: 14000 True positives: 589 False positives: 729 False negatives: 1411 True negatives: 11271 ['poi', 'deferral_payments', 'expenses', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'director_fees'] Accuracy: 0.30738 Precision: 0.16806 Recall: 0.88650 F1: 0.28255 F2: 0.47790 Total predictions: 13000 True positives: 1773 False positives: 8777 False negatives: 227 True negatives: 2223 ['poi', 'deferral_payments', 'expenses', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'resto_dirfees'] Accuracy: 0.21467 Precision: 0.16187 Recall: 0.88850 F1: 0.27385 F2: 0.46817 Total predictions: 12000 True positives: 1777 False positives: 9201 False negatives: 223 True negatives: 799 ['poi', 'deferral_payments', 'expenses', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'bonus'] Accuracy: 0.79892 Precision: 0.20202 Recall: 0.07000 F1: 0.10397 F2: 0.08052 Total predictions: 12000 True positives: 140 False positives: 553 False negatives: 1860 True negatives: 9447 ['poi', 'deferral_payments', 'expenses', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'total_stock_value'] Accuracy: 0.84886 Precision: 0.44057 Recall: 0.21500 F1: 0.28898 F2: 0.23953 Total predictions: 14000 True positives: 430 False positives: 546 False negatives: 1570 True negatives: 11454 ['poi', 'deferral_payments', 'expenses', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'from_poi_to_this_person'] Accuracy: 0.79938 Precision: 0.07542 Recall: 0.02700 F1: 0.03976 F2: 0.03098 Total predictions: 13000 True positives: 54 False positives: 662 False negatives: 1946 True negatives: 10338 ['poi', 'deferral_payments', 'expenses', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'from_this_person_to_poi'] Accuracy: 0.78977 Precision: 0.00271 Recall: 0.00100 F1: 0.00146 F2: 0.00114 Total predictions: 13000 True positives: 2 False positives: 735 False negatives: 1998 True negatives: 10265 ['poi', 'deferral_payments', 'expenses', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'restricted_stock'] Accuracy: 0.82107 Precision: 0.15832 Recall: 0.05850 F1: 0.08543 F2: 0.06694 Total predictions: 14000 True positives: 117 False positives: 622 False negatives: 1883 True negatives: 11378 ['poi', 'deferral_payments', 'expenses', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'salary'] Accuracy: 0.79942 Precision: 0.20550 Recall: 0.07100 F1: 0.10554 F2: 0.08169 Total predictions: 12000 True positives: 142 False positives: 549 False negatives: 1858 True negatives: 9451 ['poi', 'deferral_payments', 'expenses', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'total_payments'] Accuracy: 0.80238 Precision: 0.04334 Recall: 0.01350 F1: 0.02059 F2: 0.01566 Total predictions: 13000 True positives: 27 False positives: 596 False negatives: 1973 True negatives: 10404 ['poi', 'deferral_payments', 'expenses', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'other', 'exercised_stock_options'] Accuracy: 0.85093 Precision: 0.45473 Recall: 0.21850 F1: 0.29517 F2: 0.24383 Total predictions: 14000 True positives: 437 False positives: 524 False negatives: 1563 True negatives: 11476 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'resto_dirfees'] Accuracy: 0.31317 Precision: 0.18802 Recall: 0.94050 F1: 0.31340 F2: 0.52238 Total predictions: 12000 True positives: 1881 False positives: 8123 False negatives: 119 True negatives: 1877 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'bonus'] Accuracy: 0.30146 Precision: 0.17305 Recall: 0.93700 F1: 0.29215 F2: 0.49764 Total predictions: 13000 True positives: 1874 False positives: 8955 False negatives: 126 True negatives: 2045 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'total_stock_value'] Accuracy: 0.28973 Precision: 0.15206 Recall: 0.94550 F1: 0.26198 F2: 0.46266 Total predictions: 15000 True positives: 1891 False positives: 10545 False negatives: 109 True negatives: 2455 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30292 Precision: 0.17372 Recall: 0.94000 F1: 0.29325 F2: 0.49942 Total predictions: 13000 True positives: 1880 False positives: 8942 False negatives: 120 True negatives: 2058 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30162 Precision: 0.16681 Recall: 0.88600 F1: 0.28076 F2: 0.47576 Total predictions: 13000 True positives: 1772 False positives: 8851 False negatives: 228 True negatives: 2149 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'restricted_stock'] Accuracy: 0.28864 Precision: 0.15914 Recall: 0.92900 F1: 0.27174 F2: 0.47217 Total predictions: 14000 True positives: 1858 False positives: 9817 False negatives: 142 True negatives: 2183 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'salary'] Accuracy: 0.30354 Precision: 0.17288 Recall: 0.93200 F1: 0.29166 F2: 0.49622 Total predictions: 13000 True positives: 1864 False positives: 8918 False negatives: 136 True negatives: 2082 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'total_payments'] Accuracy: 0.33423 Precision: 0.17400 Recall: 0.88800 F1: 0.29098 F2: 0.48772 Total predictions: 13000 True positives: 1776 False positives: 8431 False negatives: 224 True negatives: 2569 ['poi', 'deferral_payments', 'expenses', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30200 Precision: 0.16355 Recall: 0.94450 F1: 0.27882 F2: 0.48312 Total predictions: 14000 True positives: 1889 False positives: 9661 False negatives: 111 True negatives: 2339 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'bonus'] Accuracy: 0.22333 Precision: 0.17015 Recall: 0.94400 F1: 0.28833 F2: 0.49434 Total predictions: 12000 True positives: 1888 False positives: 9208 False negatives: 112 True negatives: 792 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20771 Precision: 0.14595 Recall: 0.93700 F1: 0.25256 F2: 0.44962 Total predictions: 14000 True positives: 1874 False positives: 10966 False negatives: 126 True negatives: 1034 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21354 Precision: 0.15745 Recall: 0.94500 F1: 0.26992 F2: 0.47241 Total predictions: 13000 True positives: 1890 False positives: 10114 False negatives: 110 True negatives: 886 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.21077 Precision: 0.14875 Recall: 0.87450 F1: 0.25425 F2: 0.44261 Total predictions: 13000 True positives: 1749 False positives: 10009 False negatives: 251 True negatives: 991 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20314 Precision: 0.14517 Recall: 0.93650 F1: 0.25138 F2: 0.44804 Total predictions: 14000 True positives: 1873 False positives: 11029 False negatives: 127 True negatives: 971 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'salary'] Accuracy: 0.22508 Precision: 0.16952 Recall: 0.93600 F1: 0.28705 F2: 0.49152 Total predictions: 12000 True positives: 1872 False positives: 9171 False negatives: 128 True negatives: 829 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'total_payments'] Accuracy: 0.22815 Precision: 0.14769 Recall: 0.84200 F1: 0.25131 F2: 0.43398 Total predictions: 13000 True positives: 1684 False positives: 9718 False negatives: 316 True negatives: 1282 ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20721 Precision: 0.14648 Recall: 0.94250 F1: 0.25355 F2: 0.45163 Total predictions: 14000 True positives: 1885 False positives: 10984 False negatives: 115 True negatives: 1016 ['poi', 'deferral_payments', 'expenses', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'total_stock_value'] Accuracy: 0.85657 Precision: 0.49653 Recall: 0.28600 F1: 0.36294 F2: 0.31250 Total predictions: 14000 True positives: 572 False positives: 580 False negatives: 1428 True negatives: 11420 ['poi', 'deferral_payments', 'expenses', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81215 Precision: 0.32895 Recall: 0.21250 F1: 0.25820 F2: 0.22869 Total predictions: 13000 True positives: 425 False positives: 867 False negatives: 1575 True negatives: 10133 ['poi', 'deferral_payments', 'expenses', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.80569 Precision: 0.24663 Recall: 0.12800 F1: 0.16853 F2: 0.14162 Total predictions: 13000 True positives: 256 False positives: 782 False negatives: 1744 True negatives: 10218 ['poi', 'deferral_payments', 'expenses', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'restricted_stock'] Accuracy: 0.83721 Precision: 0.36092 Recall: 0.18100 F1: 0.24109 F2: 0.20104 Total predictions: 14000 True positives: 362 False positives: 641 False negatives: 1638 True negatives: 11359 ['poi', 'deferral_payments', 'expenses', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'salary'] Accuracy: 0.81325 Precision: 0.37938 Recall: 0.18950 F1: 0.25275 F2: 0.21058 Total predictions: 12000 True positives: 379 False positives: 620 False negatives: 1621 True negatives: 9380 ['poi', 'deferral_payments', 'expenses', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'total_payments'] Accuracy: 0.82292 Precision: 0.25246 Recall: 0.07700 F1: 0.11801 F2: 0.08943 Total predictions: 13000 True positives: 154 False positives: 456 False negatives: 1846 True negatives: 10544 ['poi', 'deferral_payments', 'expenses', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'bonus', 'exercised_stock_options'] Accuracy: 0.85429 Precision: 0.48261 Recall: 0.27750 F1: 0.35238 F2: 0.30328 Total predictions: 14000 True positives: 555 False positives: 595 False negatives: 1445 True negatives: 11405 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.87093 Precision: 0.60593 Recall: 0.27600 F1: 0.37925 F2: 0.30973 Total predictions: 14000 True positives: 552 False positives: 359 False negatives: 1448 True negatives: 11641 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.87150 Precision: 0.60772 Recall: 0.28350 F1: 0.38663 F2: 0.31736 Total predictions: 14000 True positives: 567 False positives: 366 False negatives: 1433 True negatives: 11634 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86993 Precision: 0.59956 Recall: 0.26950 F1: 0.37185 F2: 0.30284 Total predictions: 14000 True positives: 539 False positives: 360 False negatives: 1461 True negatives: 11640 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'salary'] Accuracy: 0.85443 Precision: 0.48345 Recall: 0.27750 F1: 0.35260 F2: 0.30334 Total predictions: 14000 True positives: 555 False positives: 593 False negatives: 1445 True negatives: 11407 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'total_payments'] Accuracy: 0.85373 Precision: 0.39637 Recall: 0.18550 F1: 0.25272 F2: 0.20759 Total predictions: 15000 True positives: 371 False positives: 565 False negatives: 1629 True negatives: 12435 ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85714 Precision: 0.50000 Recall: 0.27550 F1: 0.35525 F2: 0.30268 Total predictions: 14000 True positives: 551 False positives: 551 False negatives: 1449 True negatives: 11449 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77915 Precision: 0.07677 Recall: 0.03950 F1: 0.05216 F2: 0.04375 Total predictions: 13000 True positives: 79 False positives: 950 False negatives: 1921 True negatives: 10050 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82400 Precision: 0.25783 Recall: 0.12350 F1: 0.16700 F2: 0.13787 Total predictions: 14000 True positives: 247 False positives: 711 False negatives: 1753 True negatives: 11289 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79915 Precision: 0.24605 Recall: 0.14800 F1: 0.18483 F2: 0.16082 Total predictions: 13000 True positives: 296 False positives: 907 False negatives: 1704 True negatives: 10093 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82146 Precision: 0.09975 Recall: 0.02000 F1: 0.03332 F2: 0.02381 Total predictions: 13000 True positives: 40 False positives: 361 False negatives: 1960 True negatives: 10639 ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86300 Precision: 0.53883 Recall: 0.28450 F1: 0.37238 F2: 0.31416 Total predictions: 14000 True positives: 569 False positives: 487 False negatives: 1431 True negatives: 11513 ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.82721 Precision: 0.25207 Recall: 0.10650 F1: 0.14974 F2: 0.12041 Total predictions: 14000 True positives: 213 False positives: 632 False negatives: 1787 True negatives: 11368 ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80131 Precision: 0.22984 Recall: 0.12400 F1: 0.16109 F2: 0.13658 Total predictions: 13000 True positives: 248 False positives: 831 False negatives: 1752 True negatives: 10169 ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82577 Precision: 0.12676 Recall: 0.02250 F1: 0.03822 F2: 0.02693 Total predictions: 13000 True positives: 45 False positives: 310 False negatives: 1955 True negatives: 10690 ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86500 Precision: 0.55522 Recall: 0.27650 F1: 0.36916 F2: 0.30736 Total predictions: 14000 True positives: 553 False positives: 443 False negatives: 1447 True negatives: 11557 ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'salary'] Accuracy: 0.82857 Precision: 0.29167 Recall: 0.14000 F1: 0.18919 F2: 0.15625 Total predictions: 14000 True positives: 280 False positives: 680 False negatives: 1720 True negatives: 11320 ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'total_payments'] Accuracy: 0.82900 Precision: 0.20331 Recall: 0.06750 F1: 0.10135 F2: 0.07791 Total predictions: 14000 True positives: 135 False positives: 529 False negatives: 1865 True negatives: 11471 ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85843 Precision: 0.50847 Recall: 0.27000 F1: 0.35271 F2: 0.29795 Total predictions: 14000 True positives: 540 False positives: 522 False negatives: 1460 True negatives: 11478 ['poi', 'deferral_payments', 'expenses', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'salary', 'total_payments'] Accuracy: 0.82169 Precision: 0.21708 Recall: 0.06100 F1: 0.09524 F2: 0.07125 Total predictions: 13000 True positives: 122 False positives: 440 False negatives: 1878 True negatives: 10560 ['poi', 'deferral_payments', 'expenses', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'salary', 'exercised_stock_options'] Accuracy: 0.85771 Precision: 0.50375 Recall: 0.26900 F1: 0.35072 F2: 0.29665 Total predictions: 14000 True positives: 538 False positives: 530 False negatives: 1462 True negatives: 11470 ['poi', 'deferral_payments', 'expenses', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'expenses', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84593 Precision: 0.41209 Recall: 0.18400 F1: 0.25441 F2: 0.20690 Total predictions: 14000 True positives: 368 False positives: 525 False negatives: 1632 True negatives: 11475 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.35109 Precision: 0.21225 Recall: 0.94750 F1: 0.34682 F2: 0.55972 Total predictions: 11000 True positives: 1895 False positives: 7033 False negatives: 105 True negatives: 1967 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.82454 Precision: 0.39767 Recall: 0.27300 F1: 0.32375 F2: 0.29126 Total predictions: 13000 True positives: 546 False positives: 827 False negatives: 1454 True negatives: 10173 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_messages'] Accuracy: 0.81515 Precision: 0.37554 Recall: 0.30400 F1: 0.33600 F2: 0.31604 Total predictions: 13000 True positives: 608 False positives: 1011 False negatives: 1392 True negatives: 9989 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'other'] Accuracy: 0.81825 Precision: 0.39610 Recall: 0.17250 F1: 0.24033 F2: 0.19445 Total predictions: 12000 True positives: 345 False positives: 526 False negatives: 1655 True negatives: 9474 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'director_fees'] Accuracy: 0.35264 Precision: 0.21038 Recall: 0.93000 F1: 0.34314 F2: 0.55222 Total predictions: 11000 True positives: 1860 False positives: 6981 False negatives: 140 True negatives: 2019 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.24436 Precision: 0.18734 Recall: 0.94550 F1: 0.31272 F2: 0.52255 Total predictions: 11000 True positives: 1891 False positives: 8203 False negatives: 109 True negatives: 797 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'bonus'] Accuracy: 0.83600 Precision: 0.51356 Recall: 0.30300 F1: 0.38113 F2: 0.33007 Total predictions: 12000 True positives: 606 False positives: 574 False negatives: 1394 True negatives: 9426 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.85686 Precision: 0.49852 Recall: 0.33750 F1: 0.40250 F2: 0.36081 Total predictions: 14000 True positives: 675 False positives: 679 False negatives: 1325 True negatives: 11321 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.83200 Precision: 0.41958 Recall: 0.24000 F1: 0.30534 F2: 0.26247 Total predictions: 13000 True positives: 480 False positives: 664 False negatives: 1520 True negatives: 10336 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.80817 Precision: 0.36298 Recall: 0.20000 F1: 0.25790 F2: 0.21973 Total predictions: 12000 True positives: 400 False positives: 702 False negatives: 1600 True negatives: 9298 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.83557 Precision: 0.39152 Recall: 0.27250 F1: 0.32134 F2: 0.29014 Total predictions: 14000 True positives: 545 False positives: 847 False negatives: 1455 True negatives: 11153 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'salary'] Accuracy: 0.82883 Precision: 0.47720 Recall: 0.28250 F1: 0.35490 F2: 0.30760 Total predictions: 12000 True positives: 565 False positives: 619 False negatives: 1435 True negatives: 9381 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'total_payments'] Accuracy: 0.82869 Precision: 0.36969 Recall: 0.16100 F1: 0.22431 F2: 0.18149 Total predictions: 13000 True positives: 322 False positives: 549 False negatives: 1678 True negatives: 10451 ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.84554 Precision: 0.49705 Recall: 0.33650 F1: 0.40131 F2: 0.35974 Total predictions: 13000 True positives: 673 False positives: 681 False negatives: 1327 True negatives: 10319 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.30054 Precision: 0.17346 Recall: 0.94200 F1: 0.29298 F2: 0.49944 Total predictions: 13000 True positives: 1884 False positives: 8977 False negatives: 116 True negatives: 2023 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.31369 Precision: 0.16880 Recall: 0.88200 F1: 0.28337 F2: 0.47805 Total predictions: 13000 True positives: 1764 False positives: 8686 False negatives: 236 True negatives: 2314 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'other'] Accuracy: 0.31017 Precision: 0.18054 Recall: 0.88700 F1: 0.30002 F2: 0.49759 Total predictions: 12000 True positives: 1774 False positives: 8052 False negatives: 226 True negatives: 1948 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.52275 Precision: 0.19686 Recall: 0.91500 F1: 0.32401 F2: 0.52902 Total predictions: 8000 True positives: 915 False positives: 3733 False negatives: 85 True negatives: 3267 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.36612 Precision: 0.15459 Recall: 0.91100 F1: 0.26433 F2: 0.46043 Total predictions: 8000 True positives: 911 False positives: 4982 False negatives: 89 True negatives: 2018 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.32325 Precision: 0.18970 Recall: 0.93550 F1: 0.31543 F2: 0.52371 Total predictions: 12000 True positives: 1871 False positives: 7992 False negatives: 129 True negatives: 2008 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.27821 Precision: 0.15862 Recall: 0.94150 F1: 0.27150 F2: 0.47381 Total predictions: 14000 True positives: 1883 False positives: 9988 False negatives: 117 True negatives: 2012 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.31683 Precision: 0.18716 Recall: 0.92700 F1: 0.31144 F2: 0.51770 Total predictions: 12000 True positives: 1854 False positives: 8052 False negatives: 146 True negatives: 1948 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.31958 Precision: 0.18159 Recall: 0.87900 F1: 0.30100 F2: 0.49714 Total predictions: 12000 True positives: 1758 False positives: 7923 False negatives: 242 True negatives: 2077 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28350 Precision: 0.16042 Recall: 0.94850 F1: 0.27443 F2: 0.47844 Total predictions: 14000 True positives: 1897 False positives: 9928 False negatives: 103 True negatives: 2072 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30346 Precision: 0.17311 Recall: 0.93400 F1: 0.29208 F2: 0.49705 Total predictions: 13000 True positives: 1868 False positives: 8923 False negatives: 132 True negatives: 2077 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.28800 Precision: 0.16451 Recall: 0.88950 F1: 0.27767 F2: 0.47279 Total predictions: 13000 True positives: 1779 False positives: 9035 False negatives: 221 True negatives: 1965 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.29992 Precision: 0.17334 Recall: 0.94200 F1: 0.29280 F2: 0.49923 Total predictions: 13000 True positives: 1884 False positives: 8985 False negatives: 116 True negatives: 2015 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.78608 Precision: 0.31839 Recall: 0.24850 F1: 0.27914 F2: 0.25991 Total predictions: 12000 True positives: 497 False positives: 1064 False negatives: 1503 True negatives: 8936 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'other'] Accuracy: 0.82457 Precision: 0.26299 Recall: 0.12650 F1: 0.17083 F2: 0.14115 Total predictions: 14000 True positives: 253 False positives: 709 False negatives: 1747 True negatives: 11291 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.29738 Precision: 0.17317 Recall: 0.94500 F1: 0.29271 F2: 0.49963 Total predictions: 13000 True positives: 1890 False positives: 9024 False negatives: 110 True negatives: 1976 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.21450 Precision: 0.16640 Recall: 0.92600 F1: 0.28210 F2: 0.48406 Total predictions: 12000 True positives: 1852 False positives: 9278 False negatives: 148 True negatives: 722 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.83185 Precision: 0.42813 Recall: 0.27700 F1: 0.33637 F2: 0.29804 Total predictions: 13000 True positives: 554 False positives: 740 False negatives: 1446 True negatives: 10260 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84171 Precision: 0.42384 Recall: 0.30050 F1: 0.35167 F2: 0.31907 Total predictions: 14000 True positives: 601 False positives: 817 False negatives: 1399 True negatives: 11183 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.78042 Precision: 0.26002 Recall: 0.17200 F1: 0.20704 F2: 0.18449 Total predictions: 12000 True positives: 344 False positives: 979 False negatives: 1656 True negatives: 9021 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.79225 Precision: 0.27027 Recall: 0.14500 F1: 0.18874 F2: 0.15981 Total predictions: 12000 True positives: 290 False positives: 783 False negatives: 1710 True negatives: 9217 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.82636 Precision: 0.33537 Recall: 0.21950 F1: 0.26534 F2: 0.23579 Total predictions: 14000 True positives: 439 False positives: 870 False negatives: 1561 True negatives: 11130 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83271 Precision: 0.38430 Recall: 0.28400 F1: 0.32662 F2: 0.29964 Total predictions: 14000 True positives: 568 False positives: 910 False negatives: 1432 True negatives: 11090 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.83750 Precision: 0.32962 Recall: 0.13300 F1: 0.18953 F2: 0.15102 Total predictions: 14000 True positives: 266 False positives: 541 False negatives: 1734 True negatives: 11459 ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.86043 Precision: 0.51817 Recall: 0.32800 F1: 0.40171 F2: 0.35398 Total predictions: 14000 True positives: 656 False positives: 610 False negatives: 1344 True negatives: 11390 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'other'] Accuracy: 0.83693 Precision: 0.35750 Recall: 0.17750 F1: 0.23722 F2: 0.19738 Total predictions: 14000 True positives: 355 False positives: 638 False negatives: 1645 True negatives: 11362 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'director_fees'] Accuracy: 0.31977 Precision: 0.17022 Recall: 0.88300 F1: 0.28541 F2: 0.48054 Total predictions: 13000 True positives: 1766 False positives: 8609 False negatives: 234 True negatives: 2391 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'resto_dirfees'] Accuracy: 0.22975 Precision: 0.16202 Recall: 0.86800 F1: 0.27306 F2: 0.46380 Total predictions: 12000 True positives: 1736 False positives: 8979 False negatives: 264 True negatives: 1021 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'bonus'] Accuracy: 0.83892 Precision: 0.46396 Recall: 0.30250 F1: 0.36622 F2: 0.32513 Total predictions: 13000 True positives: 605 False positives: 699 False negatives: 1395 True negatives: 10301 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'total_stock_value'] Accuracy: 0.86036 Precision: 0.51629 Recall: 0.35650 F1: 0.42177 F2: 0.38002 Total predictions: 14000 True positives: 713 False positives: 668 False negatives: 1287 True negatives: 11332 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.75633 Precision: 0.26161 Recall: 0.25350 F1: 0.25749 F2: 0.25508 Total predictions: 12000 True positives: 507 False positives: 1431 False negatives: 1493 True negatives: 8569 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75192 Precision: 0.24194 Recall: 0.22900 F1: 0.23529 F2: 0.23148 Total predictions: 12000 True positives: 458 False positives: 1435 False negatives: 1542 True negatives: 8565 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'restricted_stock'] Accuracy: 0.83971 Precision: 0.40586 Recall: 0.26300 F1: 0.31917 F2: 0.28292 Total predictions: 14000 True positives: 526 False positives: 770 False negatives: 1474 True negatives: 11230 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'salary'] Accuracy: 0.83414 Precision: 0.39267 Recall: 0.29450 F1: 0.33657 F2: 0.31000 Total predictions: 14000 True positives: 589 False positives: 911 False negatives: 1411 True negatives: 11089 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'total_payments'] Accuracy: 0.84379 Precision: 0.37967 Recall: 0.14750 F1: 0.21246 F2: 0.16805 Total predictions: 14000 True positives: 295 False positives: 482 False negatives: 1705 True negatives: 11518 ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_messages', 'exercised_stock_options'] Accuracy: 0.86429 Precision: 0.53439 Recall: 0.38850 F1: 0.44991 F2: 0.41094 Total predictions: 14000 True positives: 777 False positives: 677 False negatives: 1223 True negatives: 11323 ['poi', 'deferral_payments', 'deferred_income', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'director_fees'] Accuracy: 0.31867 Precision: 0.18073 Recall: 0.87400 F1: 0.29952 F2: 0.49457 Total predictions: 12000 True positives: 1748 False positives: 7924 False negatives: 252 True negatives: 2076 ['poi', 'deferral_payments', 'deferred_income', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'resto_dirfees'] Accuracy: 0.21267 Precision: 0.16084 Recall: 0.88300 F1: 0.27211 F2: 0.46523 Total predictions: 12000 True positives: 1766 False positives: 9214 False negatives: 234 True negatives: 786 ['poi', 'deferral_payments', 'deferred_income', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'bonus'] Accuracy: 0.81783 Precision: 0.40373 Recall: 0.19500 F1: 0.26298 F2: 0.21749 Total predictions: 12000 True positives: 390 False positives: 576 False negatives: 1610 True negatives: 9424 ['poi', 'deferral_payments', 'deferred_income', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'total_stock_value'] Accuracy: 0.84814 Precision: 0.44177 Recall: 0.23900 F1: 0.31019 F2: 0.26316 Total predictions: 14000 True positives: 478 False positives: 604 False negatives: 1522 True negatives: 11396 ['poi', 'deferral_payments', 'deferred_income', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'from_poi_to_this_person'] Accuracy: 0.82200 Precision: 0.31787 Recall: 0.13700 F1: 0.19147 F2: 0.15459 Total predictions: 13000 True positives: 274 False positives: 588 False negatives: 1726 True negatives: 10412 ['poi', 'deferral_payments', 'deferred_income', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'from_this_person_to_poi'] Accuracy: 0.80331 Precision: 0.20899 Recall: 0.10000 F1: 0.13527 F2: 0.11164 Total predictions: 13000 True positives: 200 False positives: 757 False negatives: 1800 True negatives: 10243 ['poi', 'deferral_payments', 'deferred_income', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'restricted_stock'] Accuracy: 0.83514 Precision: 0.35164 Recall: 0.18250 F1: 0.24029 F2: 0.20193 Total predictions: 14000 True positives: 365 False positives: 673 False negatives: 1635 True negatives: 11327 ['poi', 'deferral_payments', 'deferred_income', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'salary'] Accuracy: 0.81775 Precision: 0.39576 Recall: 0.17750 F1: 0.24508 F2: 0.19951 Total predictions: 12000 True positives: 355 False positives: 542 False negatives: 1645 True negatives: 9458 ['poi', 'deferral_payments', 'deferred_income', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'total_payments'] Accuracy: 0.81685 Precision: 0.24901 Recall: 0.09450 F1: 0.13701 F2: 0.10789 Total predictions: 13000 True positives: 189 False positives: 570 False negatives: 1811 True negatives: 10430 ['poi', 'deferral_payments', 'deferred_income', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'other', 'exercised_stock_options'] Accuracy: 0.85314 Precision: 0.47143 Recall: 0.23100 F1: 0.31007 F2: 0.25724 Total predictions: 14000 True positives: 462 False positives: 518 False negatives: 1538 True negatives: 11482 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'resto_dirfees'] Accuracy: 0.36350 Precision: 0.15439 Recall: 0.91400 F1: 0.26416 F2: 0.46069 Total predictions: 8000 True positives: 914 False positives: 5006 False negatives: 86 True negatives: 1994 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'bonus'] Accuracy: 0.32383 Precision: 0.18977 Recall: 0.93500 F1: 0.31551 F2: 0.52369 Total predictions: 12000 True positives: 1870 False positives: 7984 False negatives: 130 True negatives: 2016 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'total_stock_value'] Accuracy: 0.29007 Precision: 0.16076 Recall: 0.94050 F1: 0.27458 F2: 0.47739 Total predictions: 14000 True positives: 1881 False positives: 9820 False negatives: 119 True negatives: 2180 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.31917 Precision: 0.18826 Recall: 0.93150 F1: 0.31321 F2: 0.52051 Total predictions: 12000 True positives: 1863 False positives: 8033 False negatives: 137 True negatives: 1967 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.31658 Precision: 0.18112 Recall: 0.88050 F1: 0.30044 F2: 0.49681 Total predictions: 12000 True positives: 1761 False positives: 7962 False negatives: 239 True negatives: 2038 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'restricted_stock'] Accuracy: 0.28736 Precision: 0.15931 Recall: 0.93250 F1: 0.27212 F2: 0.47318 Total predictions: 14000 True positives: 1865 False positives: 9842 False negatives: 135 True negatives: 2158 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'salary'] Accuracy: 0.30423 Precision: 0.17393 Recall: 0.93950 F1: 0.29352 F2: 0.49965 Total predictions: 13000 True positives: 1879 False positives: 8924 False negatives: 121 True negatives: 2076 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'total_payments'] Accuracy: 0.34985 Precision: 0.17142 Recall: 0.84150 F1: 0.28482 F2: 0.47228 Total predictions: 13000 True positives: 1683 False positives: 8135 False negatives: 317 True negatives: 2865 ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'director_fees', 'exercised_stock_options'] Accuracy: 0.31269 Precision: 0.17554 Recall: 0.93800 F1: 0.29574 F2: 0.50195 Total predictions: 13000 True positives: 1876 False positives: 8811 False negatives: 124 True negatives: 2189 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'bonus'] Accuracy: 0.22217 Precision: 0.17023 Recall: 0.94650 F1: 0.28857 F2: 0.49503 Total predictions: 12000 True positives: 1893 False positives: 9227 False negatives: 107 True negatives: 773 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21593 Precision: 0.14335 Recall: 0.90200 F1: 0.24738 F2: 0.43818 Total predictions: 14000 True positives: 1804 False positives: 10781 False negatives: 196 True negatives: 1219 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.22100 Precision: 0.16847 Recall: 0.93350 F1: 0.28543 F2: 0.48920 Total predictions: 12000 True positives: 1867 False positives: 9215 False negatives: 133 True negatives: 785 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.21442 Precision: 0.15903 Recall: 0.86600 F1: 0.26871 F2: 0.45842 Total predictions: 12000 True positives: 1732 False positives: 9159 False negatives: 268 True negatives: 841 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19214 Precision: 0.14476 Recall: 0.94850 F1: 0.25119 F2: 0.44944 Total predictions: 14000 True positives: 1897 False positives: 11207 False negatives: 103 True negatives: 793 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'salary'] Accuracy: 0.21625 Precision: 0.16791 Recall: 0.93600 F1: 0.28474 F2: 0.48880 Total predictions: 12000 True positives: 1872 False positives: 9277 False negatives: 128 True negatives: 723 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'total_payments'] Accuracy: 0.24546 Precision: 0.14853 Recall: 0.82500 F1: 0.25174 F2: 0.43173 Total predictions: 13000 True positives: 1650 False positives: 9459 False negatives: 350 True negatives: 1541 ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21808 Precision: 0.15546 Recall: 0.92100 F1: 0.26601 F2: 0.46400 Total predictions: 13000 True positives: 1842 False positives: 10007 False negatives: 158 True negatives: 993 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'total_stock_value'] Accuracy: 0.84657 Precision: 0.44591 Recall: 0.30500 F1: 0.36223 F2: 0.32558 Total predictions: 14000 True positives: 610 False positives: 758 False negatives: 1390 True negatives: 11242 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.84138 Precision: 0.47145 Recall: 0.25600 F1: 0.33182 F2: 0.28175 Total predictions: 13000 True positives: 512 False positives: 574 False negatives: 1488 True negatives: 10426 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.83592 Precision: 0.44131 Recall: 0.25000 F1: 0.31918 F2: 0.27373 Total predictions: 13000 True positives: 500 False positives: 633 False negatives: 1500 True negatives: 10367 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'restricted_stock'] Accuracy: 0.84114 Precision: 0.40667 Recall: 0.24400 F1: 0.30500 F2: 0.26522 Total predictions: 14000 True positives: 488 False positives: 712 False negatives: 1512 True negatives: 11288 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'salary'] Accuracy: 0.83050 Precision: 0.48569 Recall: 0.28850 F1: 0.36198 F2: 0.31400 Total predictions: 12000 True positives: 577 False positives: 611 False negatives: 1423 True negatives: 9389 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'total_payments'] Accuracy: 0.83669 Precision: 0.41789 Recall: 0.15650 F1: 0.22772 F2: 0.17888 Total predictions: 13000 True positives: 313 False positives: 436 False negatives: 1687 True negatives: 10564 ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'bonus', 'exercised_stock_options'] Accuracy: 0.85379 Precision: 0.48085 Recall: 0.29500 F1: 0.36566 F2: 0.31971 Total predictions: 14000 True positives: 590 False positives: 637 False negatives: 1410 True negatives: 11363 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85700 Precision: 0.49921 Recall: 0.31450 F1: 0.38589 F2: 0.33963 Total predictions: 14000 True positives: 629 False positives: 631 False negatives: 1371 True negatives: 11369 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85700 Precision: 0.49919 Recall: 0.31000 F1: 0.38248 F2: 0.33543 Total predictions: 14000 True positives: 620 False positives: 622 False negatives: 1380 True negatives: 11378 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86186 Precision: 0.52508 Recall: 0.34550 F1: 0.41677 F2: 0.37087 Total predictions: 14000 True positives: 691 False positives: 625 False negatives: 1309 True negatives: 11375 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'salary'] Accuracy: 0.85479 Precision: 0.48702 Recall: 0.30950 F1: 0.37848 F2: 0.33384 Total predictions: 14000 True positives: 619 False positives: 652 False negatives: 1381 True negatives: 11348 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'total_payments'] Accuracy: 0.85067 Precision: 0.40000 Recall: 0.24000 F1: 0.30000 F2: 0.26087 Total predictions: 15000 True positives: 480 False positives: 720 False negatives: 1520 True negatives: 12280 ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85279 Precision: 0.47801 Recall: 0.33150 F1: 0.39150 F2: 0.35315 Total predictions: 14000 True positives: 663 False positives: 724 False negatives: 1337 True negatives: 11276 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.80042 Precision: 0.29660 Recall: 0.14400 F1: 0.19387 F2: 0.16052 Total predictions: 12000 True positives: 288 False positives: 683 False negatives: 1712 True negatives: 9317 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84321 Precision: 0.40845 Recall: 0.21750 F1: 0.28385 F2: 0.23993 Total predictions: 14000 True positives: 435 False positives: 630 False negatives: 1565 True negatives: 11370 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83831 Precision: 0.45663 Recall: 0.26850 F1: 0.33816 F2: 0.29261 Total predictions: 13000 True positives: 537 False positives: 639 False negatives: 1463 True negatives: 10361 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84657 Precision: 0.39577 Recall: 0.14050 F1: 0.20738 F2: 0.16131 Total predictions: 14000 True positives: 281 False positives: 429 False negatives: 1719 True negatives: 11571 ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86236 Precision: 0.52980 Recall: 0.32450 F1: 0.40248 F2: 0.35176 Total predictions: 14000 True positives: 649 False positives: 576 False negatives: 1351 True negatives: 11424 ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.83193 Precision: 0.34531 Recall: 0.19700 F1: 0.25088 F2: 0.21551 Total predictions: 14000 True positives: 394 False positives: 747 False negatives: 1606 True negatives: 11253 ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83054 Precision: 0.41886 Recall: 0.26200 F1: 0.32236 F2: 0.28321 Total predictions: 13000 True positives: 524 False positives: 727 False negatives: 1476 True negatives: 10273 ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84264 Precision: 0.36153 Recall: 0.13250 F1: 0.19393 F2: 0.15172 Total predictions: 14000 True positives: 265 False positives: 468 False negatives: 1735 True negatives: 11532 ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86514 Precision: 0.54746 Recall: 0.32300 F1: 0.40629 F2: 0.35185 Total predictions: 14000 True positives: 646 False positives: 534 False negatives: 1354 True negatives: 11466 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'salary'] Accuracy: 0.84871 Precision: 0.45156 Recall: 0.27500 F1: 0.34183 F2: 0.29833 Total predictions: 14000 True positives: 550 False positives: 668 False negatives: 1450 True negatives: 11332 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'total_payments'] Accuracy: 0.83179 Precision: 0.33143 Recall: 0.17450 F1: 0.22863 F2: 0.19275 Total predictions: 14000 True positives: 349 False positives: 704 False negatives: 1651 True negatives: 11296 ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85943 Precision: 0.51187 Recall: 0.34500 F1: 0.41219 F2: 0.36906 Total predictions: 14000 True positives: 690 False positives: 658 False negatives: 1310 True negatives: 11342 ['poi', 'deferral_payments', 'deferred_income', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'salary', 'total_payments'] Accuracy: 0.83515 Precision: 0.40726 Recall: 0.15700 F1: 0.22663 F2: 0.17900 Total predictions: 13000 True positives: 314 False positives: 457 False negatives: 1686 True negatives: 10543 ['poi', 'deferral_payments', 'deferred_income', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'salary', 'exercised_stock_options'] Accuracy: 0.86343 Precision: 0.53993 Recall: 0.29750 F1: 0.38362 F2: 0.32685 Total predictions: 14000 True positives: 595 False positives: 507 False negatives: 1405 True negatives: 11493 ['poi', 'deferral_payments', 'deferred_income', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'deferred_income', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84514 Precision: 0.42208 Recall: 0.22750 F1: 0.29565 F2: 0.25061 Total predictions: 14000 True positives: 455 False positives: 623 False negatives: 1545 True negatives: 11377 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.32717 Precision: 0.19061 Recall: 0.93550 F1: 0.31669 F2: 0.52509 Total predictions: 12000 True positives: 1871 False positives: 7945 False negatives: 129 True negatives: 2055 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.34208 Precision: 0.18513 Recall: 0.86650 F1: 0.30508 F2: 0.49911 Total predictions: 12000 True positives: 1733 False positives: 7628 False negatives: 267 True negatives: 2372 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.33309 Precision: 0.19757 Recall: 0.87150 F1: 0.32212 F2: 0.51807 Total predictions: 11000 True positives: 1743 False positives: 7079 False negatives: 257 True negatives: 1921 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.46418 Precision: 0.24502 Recall: 0.93550 F1: 0.38834 F2: 0.59830 Total predictions: 11000 True positives: 1871 False positives: 5765 False negatives: 129 True negatives: 3235 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.38600 Precision: 0.23758 Recall: 0.93700 F1: 0.37905 F2: 0.58975 Total predictions: 10000 True positives: 1874 False positives: 6014 False negatives: 126 True negatives: 1986 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.35327 Precision: 0.21127 Recall: 0.93550 F1: 0.34469 F2: 0.55500 Total predictions: 11000 True positives: 1871 False positives: 6985 False negatives: 129 True negatives: 2015 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.29631 Precision: 0.17169 Recall: 0.93450 F1: 0.29008 F2: 0.49481 Total predictions: 13000 True positives: 1869 False positives: 9017 False negatives: 131 True negatives: 1983 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.33292 Precision: 0.19322 Recall: 0.94550 F1: 0.32086 F2: 0.53157 Total predictions: 12000 True positives: 1891 False positives: 7896 False negatives: 109 True negatives: 2104 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.35082 Precision: 0.20362 Recall: 0.88300 F1: 0.33093 F2: 0.52960 Total predictions: 11000 True positives: 1766 False positives: 6907 False negatives: 234 True negatives: 2093 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.31708 Precision: 0.17697 Recall: 0.94200 F1: 0.29796 F2: 0.50520 Total predictions: 13000 True positives: 1884 False positives: 8762 False negatives: 116 True negatives: 2238 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.33808 Precision: 0.19457 Recall: 0.94650 F1: 0.32279 F2: 0.53387 Total predictions: 12000 True positives: 1893 False positives: 7836 False negatives: 107 True negatives: 2164 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.29154 Precision: 0.16534 Recall: 0.89050 F1: 0.27889 F2: 0.47438 Total predictions: 13000 True positives: 1781 False positives: 8991 False negatives: 219 True negatives: 2009 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.31477 Precision: 0.17665 Recall: 0.94350 F1: 0.29759 F2: 0.50503 Total predictions: 13000 True positives: 1887 False positives: 8795 False negatives: 113 True negatives: 2205 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.70550 Precision: 0.22993 Recall: 0.32650 F1: 0.26983 F2: 0.30120 Total predictions: 12000 True positives: 653 False positives: 2187 False negatives: 1347 True negatives: 7813 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.77908 Precision: 0.12629 Recall: 0.05500 F1: 0.07663 F2: 0.06200 Total predictions: 12000 True positives: 110 False positives: 761 False negatives: 1890 True negatives: 9239 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.31015 Precision: 0.17561 Recall: 0.94300 F1: 0.29608 F2: 0.50320 Total predictions: 13000 True positives: 1886 False positives: 8854 False negatives: 114 True negatives: 2146 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.23242 Precision: 0.17226 Recall: 0.94750 F1: 0.29152 F2: 0.49866 Total predictions: 12000 True positives: 1895 False positives: 9106 False negatives: 105 True negatives: 894 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.80400 Precision: 0.36164 Recall: 0.23000 F1: 0.28117 F2: 0.24806 Total predictions: 12000 True positives: 460 False positives: 812 False negatives: 1540 True negatives: 9188 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83136 Precision: 0.36679 Recall: 0.24850 F1: 0.29627 F2: 0.26563 Total predictions: 14000 True positives: 497 False positives: 858 False negatives: 1503 True negatives: 11142 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.76025 Precision: 0.21132 Recall: 0.16050 F1: 0.18244 F2: 0.16861 Total predictions: 12000 True positives: 321 False positives: 1198 False negatives: 1679 True negatives: 8802 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.76717 Precision: 0.17671 Recall: 0.10850 F1: 0.13445 F2: 0.11758 Total predictions: 12000 True positives: 217 False positives: 1011 False negatives: 1783 True negatives: 8989 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.78485 Precision: 0.20060 Recall: 0.13350 F1: 0.16031 F2: 0.14307 Total predictions: 13000 True positives: 267 False positives: 1064 False negatives: 1733 True negatives: 9936 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.78158 Precision: 0.25723 Recall: 0.16450 F1: 0.20067 F2: 0.17728 Total predictions: 12000 True positives: 329 False positives: 950 False negatives: 1671 True negatives: 9050 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82007 Precision: 0.16943 Recall: 0.06650 F1: 0.09551 F2: 0.07570 Total predictions: 14000 True positives: 133 False positives: 652 False negatives: 1867 True negatives: 11348 ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.82554 Precision: 0.39708 Recall: 0.25850 F1: 0.31314 F2: 0.27790 Total predictions: 13000 True positives: 517 False positives: 785 False negatives: 1483 True negatives: 10215 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.74133 Precision: 0.17182 Recall: 0.14450 F1: 0.15698 F2: 0.14925 Total predictions: 12000 True positives: 289 False positives: 1393 False negatives: 1711 True negatives: 8607 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.33115 Precision: 0.17319 Recall: 0.88700 F1: 0.28980 F2: 0.48621 Total predictions: 13000 True positives: 1774 False positives: 8469 False negatives: 226 True negatives: 2531 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.25492 Precision: 0.16932 Recall: 0.88850 F1: 0.28443 F2: 0.48040 Total predictions: 12000 True positives: 1777 False positives: 8718 False negatives: 223 True negatives: 1282 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.77383 Precision: 0.32853 Recall: 0.34200 F1: 0.33513 F2: 0.33922 Total predictions: 12000 True positives: 684 False positives: 1398 False negatives: 1316 True negatives: 8602 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.84536 Precision: 0.43920 Recall: 0.29800 F1: 0.35508 F2: 0.31848 Total predictions: 14000 True positives: 596 False positives: 761 False negatives: 1404 True negatives: 11239 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.71625 Precision: 0.25917 Recall: 0.37800 F1: 0.30750 F2: 0.34625 Total predictions: 12000 True positives: 756 False positives: 2161 False negatives: 1244 True negatives: 7839 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.71675 Precision: 0.20842 Recall: 0.25000 F1: 0.22732 F2: 0.24041 Total predictions: 12000 True positives: 500 False positives: 1899 False negatives: 1500 True negatives: 8101 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.79038 Precision: 0.29034 Recall: 0.25100 F1: 0.26924 F2: 0.25799 Total predictions: 13000 True positives: 502 False positives: 1227 False negatives: 1498 True negatives: 9773 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.73525 Precision: 0.25407 Recall: 0.30400 F1: 0.27680 F2: 0.29250 Total predictions: 12000 True positives: 608 False positives: 1785 False negatives: 1392 True negatives: 8215 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.82043 Precision: 0.19693 Recall: 0.08350 F1: 0.11728 F2: 0.09437 Total predictions: 14000 True positives: 167 False positives: 681 False negatives: 1833 True negatives: 11319 ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83592 Precision: 0.45593 Recall: 0.34400 F1: 0.39213 F2: 0.36176 Total predictions: 13000 True positives: 688 False positives: 821 False negatives: 1312 True negatives: 10179 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.32033 Precision: 0.18110 Recall: 0.87400 F1: 0.30003 F2: 0.49513 Total predictions: 12000 True positives: 1748 False positives: 7904 False negatives: 252 True negatives: 2096 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.24373 Precision: 0.18037 Recall: 0.89150 F1: 0.30004 F2: 0.49846 Total predictions: 11000 True positives: 1783 False positives: 8102 False negatives: 217 True negatives: 898 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.78982 Precision: 0.26991 Recall: 0.09150 F1: 0.13667 F2: 0.10544 Total predictions: 11000 True positives: 183 False positives: 495 False negatives: 1817 True negatives: 8505 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.83315 Precision: 0.40982 Recall: 0.19200 F1: 0.26149 F2: 0.21484 Total predictions: 13000 True positives: 384 False positives: 553 False negatives: 1616 True negatives: 10447 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.78292 Precision: 0.12045 Recall: 0.04800 F1: 0.06864 F2: 0.05456 Total predictions: 12000 True positives: 96 False positives: 701 False negatives: 1904 True negatives: 9299 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.78050 Precision: 0.08179 Recall: 0.03100 F1: 0.04496 F2: 0.03540 Total predictions: 12000 True positives: 62 False positives: 696 False negatives: 1938 True negatives: 9304 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.80438 Precision: 0.19529 Recall: 0.08700 F1: 0.12037 F2: 0.09785 Total predictions: 13000 True positives: 174 False positives: 717 False negatives: 1826 True negatives: 10283 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.78645 Precision: 0.24673 Recall: 0.08500 F1: 0.12644 F2: 0.09782 Total predictions: 11000 True positives: 170 False positives: 519 False negatives: 1830 True negatives: 8481 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.81177 Precision: 0.18477 Recall: 0.06550 F1: 0.09671 F2: 0.07521 Total predictions: 13000 True positives: 131 False positives: 578 False negatives: 1869 True negatives: 10422 ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.82146 Precision: 0.34901 Recall: 0.18550 F1: 0.24225 F2: 0.20468 Total predictions: 13000 True positives: 371 False positives: 692 False negatives: 1629 True negatives: 10308 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.36370 Precision: 0.23223 Recall: 0.94600 F1: 0.37292 F2: 0.58587 Total predictions: 10000 True positives: 1892 False positives: 6255 False negatives: 108 True negatives: 1745 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.32700 Precision: 0.19051 Recall: 0.93500 F1: 0.31652 F2: 0.52481 Total predictions: 12000 True positives: 1870 False positives: 7946 False negatives: 130 True negatives: 2054 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.29764 Precision: 0.16234 Recall: 0.94150 F1: 0.27693 F2: 0.48038 Total predictions: 14000 True positives: 1883 False positives: 9716 False negatives: 117 True negatives: 2284 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.31238 Precision: 0.17499 Recall: 0.93400 F1: 0.29475 F2: 0.50013 Total predictions: 13000 True positives: 1868 False positives: 8807 False negatives: 132 True negatives: 2193 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.32792 Precision: 0.18149 Recall: 0.86400 F1: 0.29997 F2: 0.49312 Total predictions: 12000 True positives: 1728 False positives: 7793 False negatives: 272 True negatives: 2207 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.29729 Precision: 0.16134 Recall: 0.93350 F1: 0.27513 F2: 0.47696 Total predictions: 14000 True positives: 1867 False positives: 9705 False negatives: 133 True negatives: 2295 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.31469 Precision: 0.17621 Recall: 0.94000 F1: 0.29679 F2: 0.50351 Total predictions: 13000 True positives: 1880 False positives: 8789 False negatives: 120 True negatives: 2211 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.33023 Precision: 0.17209 Recall: 0.88000 F1: 0.28789 F2: 0.48280 Total predictions: 13000 True positives: 1760 False positives: 8467 False negatives: 240 True negatives: 2533 ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.32115 Precision: 0.17761 Recall: 0.94000 F1: 0.29877 F2: 0.50578 Total predictions: 13000 True positives: 1880 False positives: 8705 False negatives: 120 True negatives: 2295 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.25364 Precision: 0.18925 Recall: 0.94550 F1: 0.31538 F2: 0.52551 Total predictions: 11000 True positives: 1891 False positives: 8101 False negatives: 109 True negatives: 899 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21331 Precision: 0.15592 Recall: 0.93200 F1: 0.26714 F2: 0.46705 Total predictions: 13000 True positives: 1864 False positives: 10091 False negatives: 136 True negatives: 909 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.24645 Precision: 0.18690 Recall: 0.93850 F1: 0.31172 F2: 0.52015 Total predictions: 11000 True positives: 1877 False positives: 8166 False negatives: 123 True negatives: 834 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.25245 Precision: 0.18143 Recall: 0.88600 F1: 0.30118 F2: 0.49868 Total predictions: 11000 True positives: 1772 False positives: 7995 False negatives: 228 True negatives: 1005 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21877 Precision: 0.15800 Recall: 0.94200 F1: 0.27061 F2: 0.47280 Total predictions: 13000 True positives: 1884 False positives: 10040 False negatives: 116 True negatives: 960 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.24745 Precision: 0.18710 Recall: 0.93850 F1: 0.31200 F2: 0.52046 Total predictions: 11000 True positives: 1877 False positives: 8155 False negatives: 123 True negatives: 845 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.24100 Precision: 0.14864 Recall: 0.83200 F1: 0.25222 F2: 0.43345 Total predictions: 13000 True positives: 1664 False positives: 9531 False negatives: 336 True negatives: 1469 ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23125 Precision: 0.17102 Recall: 0.93900 F1: 0.28935 F2: 0.49471 Total predictions: 12000 True positives: 1878 False positives: 9103 False negatives: 122 True negatives: 897 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.84177 Precision: 0.47511 Recall: 0.27200 F1: 0.34595 F2: 0.29743 Total predictions: 13000 True positives: 544 False positives: 601 False negatives: 1456 True negatives: 10399 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.80842 Precision: 0.36805 Recall: 0.20850 F1: 0.26620 F2: 0.22829 Total predictions: 12000 True positives: 417 False positives: 716 False negatives: 1583 True negatives: 9284 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79733 Precision: 0.28740 Recall: 0.14600 F1: 0.19363 F2: 0.16193 Total predictions: 12000 True positives: 292 False positives: 724 False negatives: 1708 True negatives: 9276 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.82246 Precision: 0.36420 Recall: 0.20650 F1: 0.26356 F2: 0.22608 Total predictions: 13000 True positives: 413 False positives: 721 False negatives: 1587 True negatives: 10279 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.80255 Precision: 0.40985 Recall: 0.19550 F1: 0.26473 F2: 0.21834 Total predictions: 11000 True positives: 391 False positives: 563 False negatives: 1609 True negatives: 8437 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.81715 Precision: 0.23928 Recall: 0.08650 F1: 0.12707 F2: 0.09916 Total predictions: 13000 True positives: 173 False positives: 550 False negatives: 1827 True negatives: 10450 ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.83800 Precision: 0.45301 Recall: 0.25550 F1: 0.32673 F2: 0.27991 Total predictions: 13000 True positives: 511 False positives: 617 False negatives: 1489 True negatives: 10383 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84323 Precision: 0.48307 Recall: 0.27100 F1: 0.34721 F2: 0.29708 Total predictions: 13000 True positives: 542 False positives: 580 False negatives: 1458 True negatives: 10420 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84715 Precision: 0.50627 Recall: 0.26250 F1: 0.34574 F2: 0.29047 Total predictions: 13000 True positives: 525 False positives: 512 False negatives: 1475 True negatives: 10488 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85492 Precision: 0.55135 Recall: 0.30600 F1: 0.39357 F2: 0.33589 Total predictions: 13000 True positives: 612 False positives: 498 False negatives: 1388 True negatives: 10502 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.84069 Precision: 0.46799 Recall: 0.25950 F1: 0.33387 F2: 0.28488 Total predictions: 13000 True positives: 519 False positives: 590 False negatives: 1481 True negatives: 10410 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.84340 Precision: 0.33976 Recall: 0.18500 F1: 0.23956 F2: 0.20354 Total predictions: 15000 True positives: 370 False positives: 719 False negatives: 1630 True negatives: 12281 ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83892 Precision: 0.46299 Recall: 0.29400 F1: 0.35963 F2: 0.31715 Total predictions: 13000 True positives: 588 False positives: 682 False negatives: 1412 True negatives: 10318 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.76455 Precision: 0.19898 Recall: 0.09750 F1: 0.13087 F2: 0.10857 Total predictions: 11000 True positives: 195 False positives: 785 False negatives: 1805 True negatives: 8215 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81477 Precision: 0.28706 Recall: 0.13750 F1: 0.18594 F2: 0.15349 Total predictions: 13000 True positives: 275 False positives: 683 False negatives: 1725 True negatives: 10317 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80217 Precision: 0.33625 Recall: 0.19200 F1: 0.24443 F2: 0.21002 Total predictions: 12000 True positives: 384 False positives: 758 False negatives: 1616 True negatives: 9242 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82000 Precision: 0.21186 Recall: 0.06250 F1: 0.09653 F2: 0.07276 Total predictions: 13000 True positives: 125 False positives: 465 False negatives: 1875 True negatives: 10535 ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83808 Precision: 0.45592 Recall: 0.27150 F1: 0.34033 F2: 0.29540 Total predictions: 13000 True positives: 543 False positives: 648 False negatives: 1457 True negatives: 10352 ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80623 Precision: 0.24179 Recall: 0.12150 F1: 0.16173 F2: 0.13493 Total predictions: 13000 True positives: 243 False positives: 762 False negatives: 1757 True negatives: 10238 ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79392 Precision: 0.26654 Recall: 0.13500 F1: 0.17922 F2: 0.14978 Total predictions: 12000 True positives: 270 False positives: 743 False negatives: 1730 True negatives: 9257 ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82508 Precision: 0.25709 Recall: 0.07250 F1: 0.11310 F2: 0.08466 Total predictions: 13000 True positives: 145 False positives: 419 False negatives: 1855 True negatives: 10581 ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84015 Precision: 0.46530 Recall: 0.26150 F1: 0.33483 F2: 0.28661 Total predictions: 13000 True positives: 523 False positives: 601 False negatives: 1477 True negatives: 10399 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.82369 Precision: 0.37260 Recall: 0.21350 F1: 0.27146 F2: 0.23344 Total predictions: 13000 True positives: 427 False positives: 719 False negatives: 1573 True negatives: 10281 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82121 Precision: 0.18680 Recall: 0.07500 F1: 0.10703 F2: 0.08520 Total predictions: 14000 True positives: 150 False positives: 653 False negatives: 1850 True negatives: 11347 ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84623 Precision: 0.50041 Recall: 0.30650 F1: 0.38016 F2: 0.33225 Total predictions: 13000 True positives: 613 False positives: 612 False negatives: 1387 True negatives: 10388 ['poi', 'deferral_payments', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.81754 Precision: 0.22727 Recall: 0.07750 F1: 0.11559 F2: 0.08927 Total predictions: 13000 True positives: 155 False positives: 527 False negatives: 1845 True negatives: 10473 ['poi', 'deferral_payments', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.83069 Precision: 0.41344 Recall: 0.24000 F1: 0.30370 F2: 0.26198 Total predictions: 13000 True positives: 480 False positives: 681 False negatives: 1520 True negatives: 10319 ['poi', 'deferral_payments', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84250 Precision: 0.39084 Recall: 0.18350 F1: 0.24974 F2: 0.20528 Total predictions: 14000 True positives: 367 False positives: 572 False negatives: 1633 True negatives: 11428 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.35391 Precision: 0.20235 Recall: 0.86800 F1: 0.32820 F2: 0.52355 Total predictions: 11000 True positives: 1736 False positives: 6843 False negatives: 264 True negatives: 2157 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.29546 Precision: 0.16581 Recall: 0.88800 F1: 0.27944 F2: 0.47459 Total predictions: 13000 True positives: 1776 False positives: 8935 False negatives: 224 True negatives: 2065 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.40883 Precision: 0.21233 Recall: 0.94000 F1: 0.34642 F2: 0.55773 Total predictions: 12000 True positives: 1880 False positives: 6974 False negatives: 120 True negatives: 3026 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.33173 Precision: 0.20634 Recall: 0.94000 F1: 0.33840 F2: 0.54935 Total predictions: 11000 True positives: 1880 False positives: 7231 False negatives: 120 True negatives: 1769 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.32408 Precision: 0.18964 Recall: 0.93350 F1: 0.31524 F2: 0.52312 Total predictions: 12000 True positives: 1867 False positives: 7978 False negatives: 133 True negatives: 2022 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.28771 Precision: 0.16077 Recall: 0.94450 F1: 0.27476 F2: 0.47823 Total predictions: 14000 True positives: 1889 False positives: 9861 False negatives: 111 True negatives: 2139 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.33836 Precision: 0.20801 Recall: 0.94000 F1: 0.34064 F2: 0.55171 Total predictions: 11000 True positives: 1880 False positives: 7158 False negatives: 120 True negatives: 1842 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.33218 Precision: 0.19687 Recall: 0.86800 F1: 0.32095 F2: 0.51611 Total predictions: 11000 True positives: 1736 False positives: 7082 False negatives: 264 True negatives: 1918 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.30446 Precision: 0.17362 Recall: 0.93650 F1: 0.29293 F2: 0.49846 Total predictions: 13000 True positives: 1873 False positives: 8915 False negatives: 127 True negatives: 2085 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.30246 Precision: 0.17362 Recall: 0.94000 F1: 0.29311 F2: 0.49926 Total predictions: 13000 True positives: 1880 False positives: 8948 False negatives: 120 True negatives: 2052 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.26136 Precision: 0.14839 Recall: 0.88000 F1: 0.25395 F2: 0.44308 Total predictions: 14000 True positives: 1760 False positives: 10101 False negatives: 240 True negatives: 1899 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.29392 Precision: 0.17072 Recall: 0.93050 F1: 0.28850 F2: 0.49230 Total predictions: 13000 True positives: 1861 False positives: 9040 False negatives: 139 True negatives: 1960 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.31277 Precision: 0.16123 Recall: 0.82500 F1: 0.26974 F2: 0.45245 Total predictions: 13000 True positives: 1650 False positives: 8584 False negatives: 350 True negatives: 2416 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.42142 Precision: 0.20658 Recall: 0.87000 F1: 0.33388 F2: 0.52974 Total predictions: 12000 True positives: 1740 False positives: 6683 False negatives: 260 True negatives: 3317 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.34773 Precision: 0.20076 Recall: 0.86800 F1: 0.32610 F2: 0.52142 Total predictions: 11000 True positives: 1736 False positives: 6911 False negatives: 264 True negatives: 2089 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.33600 Precision: 0.18483 Recall: 0.87500 F1: 0.30520 F2: 0.50092 Total predictions: 12000 True positives: 1750 False positives: 7718 False negatives: 250 True negatives: 2282 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.30593 Precision: 0.15748 Recall: 0.88700 F1: 0.26747 F2: 0.46042 Total predictions: 14000 True positives: 1774 False positives: 9491 False negatives: 226 True negatives: 2509 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.35482 Precision: 0.20259 Recall: 0.86800 F1: 0.32851 F2: 0.52387 Total predictions: 11000 True positives: 1736 False positives: 6833 False negatives: 264 True negatives: 2167 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.35418 Precision: 0.20243 Recall: 0.86800 F1: 0.32829 F2: 0.52365 Total predictions: 11000 True positives: 1736 False positives: 6840 False negatives: 264 True negatives: 2160 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.32192 Precision: 0.17061 Recall: 0.88250 F1: 0.28595 F2: 0.48106 Total predictions: 13000 True positives: 1765 False positives: 8580 False negatives: 235 True negatives: 2420 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.31985 Precision: 0.16947 Recall: 0.87700 F1: 0.28405 F2: 0.47793 Total predictions: 13000 True positives: 1754 False positives: 8596 False negatives: 246 True negatives: 2404 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.27736 Precision: 0.14421 Recall: 0.82250 F1: 0.24539 F2: 0.42382 Total predictions: 14000 True positives: 1645 False positives: 9762 False negatives: 355 True negatives: 2238 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.31362 Precision: 0.16732 Recall: 0.87050 F1: 0.28069 F2: 0.47297 Total predictions: 13000 True positives: 1741 False positives: 8664 False negatives: 259 True negatives: 2336 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.38554 Precision: 0.18550 Recall: 0.88300 F1: 0.30660 F2: 0.50400 Total predictions: 13000 True positives: 1766 False positives: 7754 False negatives: 234 True negatives: 3246 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.31964 Precision: 0.19506 Recall: 0.87700 F1: 0.31914 F2: 0.51613 Total predictions: 11000 True positives: 1754 False positives: 7238 False negatives: 246 True negatives: 1762 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.33358 Precision: 0.18553 Recall: 0.88450 F1: 0.30672 F2: 0.50442 Total predictions: 12000 True positives: 1769 False positives: 7766 False negatives: 231 True negatives: 2234 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.28307 Precision: 0.15474 Recall: 0.90050 F1: 0.26410 F2: 0.45853 Total predictions: 14000 True positives: 1801 False positives: 9838 False negatives: 199 True negatives: 2162 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.29892 Precision: 0.16588 Recall: 0.88300 F1: 0.27930 F2: 0.47356 Total predictions: 13000 True positives: 1766 False positives: 8880 False negatives: 234 True negatives: 2120 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.30700 Precision: 0.17138 Recall: 0.82350 F1: 0.28372 F2: 0.46763 Total predictions: 12000 True positives: 1647 False positives: 7963 False negatives: 353 True negatives: 2037 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.30062 Precision: 0.16503 Recall: 0.87350 F1: 0.27761 F2: 0.46998 Total predictions: 13000 True positives: 1747 False positives: 8839 False negatives: 253 True negatives: 2161 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.32592 Precision: 0.18263 Recall: 0.87600 F1: 0.30225 F2: 0.49793 Total predictions: 12000 True positives: 1752 False positives: 7841 False negatives: 248 True negatives: 2159 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.29200 Precision: 0.16449 Recall: 0.88300 F1: 0.27732 F2: 0.47129 Total predictions: 13000 True positives: 1766 False positives: 8970 False negatives: 234 True negatives: 2030 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.29208 Precision: 0.16445 Recall: 0.88250 F1: 0.27723 F2: 0.47109 Total predictions: 13000 True positives: 1765 False positives: 8968 False negatives: 235 True negatives: 2032 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.60117 Precision: 0.26760 Recall: 0.80200 F1: 0.40130 F2: 0.57310 Total predictions: 6000 True positives: 802 False positives: 2195 False negatives: 198 True negatives: 2805 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.41458 Precision: 0.21341 Recall: 0.93550 F1: 0.34754 F2: 0.55794 Total predictions: 12000 True positives: 1871 False positives: 6896 False negatives: 129 True negatives: 3104 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.35300 Precision: 0.17445 Recall: 0.94550 F1: 0.29455 F2: 0.50186 Total predictions: 14000 True positives: 1891 False positives: 8949 False negatives: 109 True negatives: 3051 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.41492 Precision: 0.21384 Recall: 0.93800 F1: 0.34828 F2: 0.55923 Total predictions: 12000 True positives: 1876 False positives: 6897 False negatives: 124 True negatives: 3103 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.43173 Precision: 0.22535 Recall: 0.87200 F1: 0.35815 F2: 0.55404 Total predictions: 11000 True positives: 1744 False positives: 5995 False negatives: 256 True negatives: 3005 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.36200 Precision: 0.17601 Recall: 0.94150 F1: 0.29658 F2: 0.50353 Total predictions: 14000 True positives: 1883 False positives: 8815 False negatives: 117 True negatives: 3185 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.38008 Precision: 0.19147 Recall: 0.94000 F1: 0.31813 F2: 0.52753 Total predictions: 13000 True positives: 1880 False positives: 7939 False negatives: 120 True negatives: 3061 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36938 Precision: 0.18300 Recall: 0.89450 F1: 0.30384 F2: 0.50321 Total predictions: 13000 True positives: 1789 False positives: 7987 False negatives: 211 True negatives: 3013 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.33783 Precision: 0.10588 Recall: 0.93300 F1: 0.19018 F2: 0.36411 Total predictions: 12000 True positives: 933 False positives: 7879 False negatives: 67 True negatives: 3121 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.35064 Precision: 0.21136 Recall: 0.94150 F1: 0.34522 F2: 0.55680 Total predictions: 11000 True positives: 1883 False positives: 7026 False negatives: 117 True negatives: 1974 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.28154 Precision: 0.16919 Recall: 0.93850 F1: 0.28670 F2: 0.49152 Total predictions: 13000 True positives: 1877 False positives: 9217 False negatives: 123 True negatives: 1783 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.34182 Precision: 0.20726 Recall: 0.92750 F1: 0.33881 F2: 0.54720 Total predictions: 11000 True positives: 1855 False positives: 7095 False negatives: 145 True negatives: 1905 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.35480 Precision: 0.21866 Recall: 0.86500 F1: 0.34907 F2: 0.54361 Total predictions: 10000 True positives: 1730 False positives: 6182 False negatives: 270 True negatives: 1818 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30315 Precision: 0.17431 Recall: 0.94450 F1: 0.29431 F2: 0.50141 Total predictions: 13000 True positives: 1889 False positives: 8948 False negatives: 111 True negatives: 2052 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.31650 Precision: 0.19021 Recall: 0.95200 F1: 0.31707 F2: 0.52860 Total predictions: 12000 True positives: 1904 False positives: 8106 False negatives: 96 True negatives: 1894 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27931 Precision: 0.16349 Recall: 0.89500 F1: 0.27647 F2: 0.47232 Total predictions: 13000 True positives: 1790 False positives: 9159 False negatives: 210 True negatives: 1841 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.25255 Precision: 0.10117 Recall: 0.91600 F1: 0.18222 F2: 0.35085 Total predictions: 11000 True positives: 916 False positives: 8138 False negatives: 84 True negatives: 1862 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.29271 Precision: 0.16237 Recall: 0.95000 F1: 0.27733 F2: 0.48218 Total predictions: 14000 True positives: 1900 False positives: 9802 False negatives: 100 True negatives: 2198 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.32567 Precision: 0.19057 Recall: 0.93800 F1: 0.31678 F2: 0.52567 Total predictions: 12000 True positives: 1876 False positives: 7968 False negatives: 124 True negatives: 2032 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.32442 Precision: 0.18420 Recall: 0.89050 F1: 0.30525 F2: 0.50399 Total predictions: 12000 True positives: 1781 False positives: 7888 False negatives: 219 True negatives: 2112 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.30900 Precision: 0.17488 Recall: 0.93900 F1: 0.29484 F2: 0.50109 Total predictions: 13000 True positives: 1878 False positives: 8861 False negatives: 122 True negatives: 2139 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.33850 Precision: 0.19486 Recall: 0.94800 F1: 0.32327 F2: 0.53469 Total predictions: 12000 True positives: 1896 False positives: 7834 False negatives: 104 True negatives: 2166 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.29185 Precision: 0.16540 Recall: 0.89050 F1: 0.27898 F2: 0.47448 Total predictions: 13000 True positives: 1781 False positives: 8987 False negatives: 219 True negatives: 2013 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.30669 Precision: 0.17409 Recall: 0.93650 F1: 0.29360 F2: 0.49923 Total predictions: 13000 True positives: 1873 False positives: 8886 False negatives: 127 True negatives: 2114 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.28457 Precision: 0.16028 Recall: 0.94550 F1: 0.27410 F2: 0.47757 Total predictions: 14000 True positives: 1891 False positives: 9907 False negatives: 109 True negatives: 2093 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.28900 Precision: 0.16165 Recall: 0.95000 F1: 0.27628 F2: 0.48092 Total predictions: 14000 True positives: 1900 False positives: 9854 False negatives: 100 True negatives: 2146 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.29638 Precision: 0.17170 Recall: 0.93450 F1: 0.29010 F2: 0.49484 Total predictions: 13000 True positives: 1869 False positives: 9016 False negatives: 131 True negatives: 1984 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.28700 Precision: 0.16126 Recall: 0.95000 F1: 0.27572 F2: 0.48023 Total predictions: 14000 True positives: 1900 False positives: 9882 False negatives: 100 True negatives: 2118 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.26387 Precision: 0.14221 Recall: 0.89850 F1: 0.24556 F2: 0.43540 Total predictions: 15000 True positives: 1797 False positives: 10839 False negatives: 203 True negatives: 2161 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.29531 Precision: 0.17148 Recall: 0.93450 F1: 0.28979 F2: 0.49447 Total predictions: 13000 True positives: 1869 False positives: 9030 False negatives: 131 True negatives: 1970 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.34100 Precision: 0.19795 Recall: 0.86000 F1: 0.32183 F2: 0.51531 Total predictions: 11000 True positives: 1720 False positives: 6969 False negatives: 280 True negatives: 2031 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30762 Precision: 0.17373 Recall: 0.93200 F1: 0.29287 F2: 0.49762 Total predictions: 13000 True positives: 1864 False positives: 8865 False negatives: 136 True negatives: 2135 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31585 Precision: 0.17682 Recall: 0.94300 F1: 0.29781 F2: 0.50520 Total predictions: 13000 True positives: 1886 False positives: 8780 False negatives: 114 True negatives: 2220 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.27607 Precision: 0.15256 Recall: 0.89300 F1: 0.26060 F2: 0.45314 Total predictions: 14000 True positives: 1786 False positives: 9921 False negatives: 214 True negatives: 2079 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.30638 Precision: 0.17469 Recall: 0.94200 F1: 0.29472 F2: 0.50146 Total predictions: 13000 True positives: 1884 False positives: 8901 False negatives: 116 True negatives: 2099 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29708 Precision: 0.16406 Recall: 0.87150 F1: 0.27614 F2: 0.46794 Total predictions: 13000 True positives: 1743 False positives: 8881 False negatives: 257 True negatives: 2119 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.31292 Precision: 0.18017 Recall: 0.87950 F1: 0.29907 F2: 0.49513 Total predictions: 12000 True positives: 1759 False positives: 8004 False negatives: 241 True negatives: 1996 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.27500 Precision: 0.15141 Recall: 0.88500 F1: 0.25858 F2: 0.44947 Total predictions: 14000 True positives: 1770 False positives: 9920 False negatives: 230 True negatives: 2080 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.30808 Precision: 0.17504 Recall: 0.94200 F1: 0.29523 F2: 0.50205 Total predictions: 13000 True positives: 1884 False positives: 8879 False negatives: 116 True negatives: 2121 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.30408 Precision: 0.17354 Recall: 0.93650 F1: 0.29282 F2: 0.49832 Total predictions: 13000 True positives: 1873 False positives: 8920 False negatives: 127 True negatives: 2080 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.26557 Precision: 0.14877 Recall: 0.87700 F1: 0.25439 F2: 0.44315 Total predictions: 14000 True positives: 1754 False positives: 10036 False negatives: 246 True negatives: 1964 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.29638 Precision: 0.17170 Recall: 0.93450 F1: 0.29010 F2: 0.49484 Total predictions: 13000 True positives: 1869 False positives: 9016 False negatives: 131 True negatives: 1984 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.29077 Precision: 0.16500 Recall: 0.88900 F1: 0.27833 F2: 0.47348 Total predictions: 13000 True positives: 1778 False positives: 8998 False negatives: 222 True negatives: 2002 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.29831 Precision: 0.17264 Recall: 0.93900 F1: 0.29166 F2: 0.49740 Total predictions: 13000 True positives: 1878 False positives: 9000 False negatives: 122 True negatives: 2000 ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.27071 Precision: 0.15058 Recall: 0.88450 F1: 0.25735 F2: 0.44789 Total predictions: 14000 True positives: 1769 False positives: 9979 False negatives: 231 True negatives: 2021 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.71933 Precision: 0.11400 Recall: 0.10100 F1: 0.10710 F2: 0.10336 Total predictions: 12000 True positives: 202 False positives: 1570 False negatives: 1798 True negatives: 8430 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.35325 Precision: 0.18584 Recall: 0.85200 F1: 0.30513 F2: 0.49624 Total predictions: 12000 True positives: 1704 False positives: 7465 False negatives: 296 True negatives: 2535 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.25255 Precision: 0.17987 Recall: 0.87400 F1: 0.29834 F2: 0.49328 Total predictions: 11000 True positives: 1748 False positives: 7970 False negatives: 252 True negatives: 1030 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.73325 Precision: 0.19595 Recall: 0.19350 F1: 0.19472 F2: 0.19398 Total predictions: 12000 True positives: 387 False positives: 1588 False negatives: 1613 True negatives: 8412 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.83943 Precision: 0.40988 Recall: 0.28200 F1: 0.33412 F2: 0.30077 Total predictions: 14000 True positives: 564 False positives: 812 False negatives: 1436 True negatives: 11188 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.67755 Precision: 0.20997 Recall: 0.28000 F1: 0.23998 F2: 0.26249 Total predictions: 11000 True positives: 560 False positives: 2107 False negatives: 1440 True negatives: 6893 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.67218 Precision: 0.10404 Recall: 0.10550 F1: 0.10477 F2: 0.10521 Total predictions: 11000 True positives: 211 False positives: 1817 False negatives: 1789 True negatives: 7183 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.74985 Precision: 0.16667 Recall: 0.15650 F1: 0.16142 F2: 0.15843 Total predictions: 13000 True positives: 313 False positives: 1565 False negatives: 1687 True negatives: 9435 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.69167 Precision: 0.16377 Recall: 0.20700 F1: 0.18286 F2: 0.19662 Total predictions: 12000 True positives: 414 False positives: 2114 False negatives: 1586 True negatives: 7886 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.81050 Precision: 0.13356 Recall: 0.05950 F1: 0.08232 F2: 0.06692 Total predictions: 14000 True positives: 119 False positives: 772 False negatives: 1881 True negatives: 11228 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.83646 Precision: 0.45833 Recall: 0.34650 F1: 0.39465 F2: 0.36428 Total predictions: 13000 True positives: 693 False positives: 819 False negatives: 1307 True negatives: 10181 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.28493 Precision: 0.15257 Recall: 0.87950 F1: 0.26003 F2: 0.45036 Total predictions: 14000 True positives: 1759 False positives: 9770 False negatives: 241 True negatives: 2230 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.20308 Precision: 0.14803 Recall: 0.87900 F1: 0.25339 F2: 0.44224 Total predictions: 13000 True positives: 1758 False positives: 10118 False negatives: 242 True negatives: 882 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.78450 Precision: 0.17372 Recall: 0.07800 F1: 0.10766 F2: 0.08766 Total predictions: 12000 True positives: 156 False positives: 742 False negatives: 1844 True negatives: 9258 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.83157 Precision: 0.33395 Recall: 0.18000 F1: 0.23392 F2: 0.19828 Total predictions: 14000 True positives: 360 False positives: 718 False negatives: 1640 True negatives: 11282 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.75583 Precision: 0.05288 Recall: 0.02750 F1: 0.03618 F2: 0.03042 Total predictions: 12000 True positives: 55 False positives: 985 False negatives: 1945 True negatives: 9015 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.76475 Precision: 0.00242 Recall: 0.00100 F1: 0.00141 F2: 0.00113 Total predictions: 12000 True positives: 2 False positives: 825 False negatives: 1998 True negatives: 9175 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.79031 Precision: 0.12109 Recall: 0.05800 F1: 0.07843 F2: 0.06475 Total predictions: 13000 True positives: 116 False positives: 842 False negatives: 1884 True negatives: 10158 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.77623 Precision: 0.11054 Recall: 0.06450 F1: 0.08147 F2: 0.07036 Total predictions: 13000 True positives: 129 False positives: 1038 False negatives: 1871 True negatives: 9962 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.81779 Precision: 0.06750 Recall: 0.02150 F1: 0.03261 F2: 0.02489 Total predictions: 14000 True positives: 43 False positives: 594 False negatives: 1957 True negatives: 11406 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.83386 Precision: 0.34623 Recall: 0.18350 F1: 0.23987 F2: 0.20254 Total predictions: 14000 True positives: 367 False positives: 693 False negatives: 1633 True negatives: 11307 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.30525 Precision: 0.18469 Recall: 0.92800 F1: 0.30808 F2: 0.51416 Total predictions: 12000 True positives: 1856 False positives: 8193 False negatives: 144 True negatives: 1807 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.29454 Precision: 0.17121 Recall: 0.93350 F1: 0.28935 F2: 0.49378 Total predictions: 13000 True positives: 1867 False positives: 9038 False negatives: 133 True negatives: 1962 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.28007 Precision: 0.15081 Recall: 0.95000 F1: 0.26029 F2: 0.46119 Total predictions: 15000 True positives: 1900 False positives: 10699 False negatives: 100 True negatives: 2301 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.33175 Precision: 0.19073 Recall: 0.92800 F1: 0.31643 F2: 0.52338 Total predictions: 12000 True positives: 1856 False positives: 7875 False negatives: 144 True negatives: 2125 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.32492 Precision: 0.17920 Recall: 0.85200 F1: 0.29612 F2: 0.48661 Total predictions: 12000 True positives: 1704 False positives: 7805 False negatives: 296 True negatives: 2195 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.29300 Precision: 0.16004 Recall: 0.92950 F1: 0.27306 F2: 0.47385 Total predictions: 14000 True positives: 1859 False positives: 9757 False negatives: 141 True negatives: 2243 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.28479 Precision: 0.15876 Recall: 0.93200 F1: 0.27130 F2: 0.47211 Total predictions: 14000 True positives: 1864 False positives: 9877 False negatives: 136 True negatives: 2123 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.32057 Precision: 0.15886 Recall: 0.87450 F1: 0.26887 F2: 0.46002 Total predictions: 14000 True positives: 1749 False positives: 9261 False negatives: 251 True negatives: 2739 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.29671 Precision: 0.16146 Recall: 0.93550 F1: 0.27539 F2: 0.47759 Total predictions: 14000 True positives: 1871 False positives: 9717 False negatives: 129 True negatives: 2283 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.23042 Precision: 0.17045 Recall: 0.93550 F1: 0.28836 F2: 0.49297 Total predictions: 12000 True positives: 1871 False positives: 9106 False negatives: 129 True negatives: 894 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20914 Precision: 0.14678 Recall: 0.94250 F1: 0.25401 F2: 0.45221 Total predictions: 14000 True positives: 1885 False positives: 10957 False negatives: 115 True negatives: 1043 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.23264 Precision: 0.18349 Recall: 0.93350 F1: 0.30669 F2: 0.51362 Total predictions: 11000 True positives: 1867 False positives: 8308 False negatives: 133 True negatives: 692 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.22855 Precision: 0.17512 Recall: 0.87400 F1: 0.29177 F2: 0.48604 Total predictions: 11000 True positives: 1748 False positives: 8234 False negatives: 252 True negatives: 766 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21646 Precision: 0.15692 Recall: 0.93600 F1: 0.26877 F2: 0.46964 Total predictions: 13000 True positives: 1872 False positives: 10058 False negatives: 128 True negatives: 942 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.21308 Precision: 0.15611 Recall: 0.93400 F1: 0.26751 F2: 0.46780 Total predictions: 13000 True positives: 1868 False positives: 10098 False negatives: 132 True negatives: 902 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.23157 Precision: 0.13684 Recall: 0.82500 F1: 0.23474 F2: 0.41131 Total predictions: 14000 True positives: 1650 False positives: 10408 False negatives: 350 True negatives: 1592 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21923 Precision: 0.15670 Recall: 0.93000 F1: 0.26820 F2: 0.46804 Total predictions: 13000 True positives: 1860 False positives: 10010 False negatives: 140 True negatives: 990 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.83586 Precision: 0.38061 Recall: 0.23750 F1: 0.29249 F2: 0.25681 Total predictions: 14000 True positives: 475 False positives: 773 False negatives: 1525 True negatives: 11227 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.78725 Precision: 0.29564 Recall: 0.20000 F1: 0.23859 F2: 0.21384 Total predictions: 12000 True positives: 400 False positives: 953 False negatives: 1600 True negatives: 9047 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78683 Precision: 0.24262 Recall: 0.13150 F1: 0.17056 F2: 0.14476 Total predictions: 12000 True positives: 263 False positives: 821 False negatives: 1737 True negatives: 9179 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.80262 Precision: 0.25853 Recall: 0.15150 F1: 0.19105 F2: 0.16518 Total predictions: 13000 True positives: 303 False positives: 869 False negatives: 1697 True negatives: 10131 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.79467 Precision: 0.30239 Recall: 0.17750 F1: 0.22369 F2: 0.19348 Total predictions: 12000 True positives: 355 False positives: 819 False negatives: 1645 True negatives: 9181 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.81664 Precision: 0.16608 Recall: 0.07050 F1: 0.09898 F2: 0.07967 Total predictions: 14000 True positives: 141 False positives: 708 False negatives: 1859 True negatives: 11292 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.82777 Precision: 0.40386 Recall: 0.25100 F1: 0.30959 F2: 0.27156 Total predictions: 13000 True positives: 502 False positives: 741 False negatives: 1498 True negatives: 10259 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83936 Precision: 0.40416 Recall: 0.26250 F1: 0.31828 F2: 0.28229 Total predictions: 14000 True positives: 525 False positives: 774 False negatives: 1475 True negatives: 11226 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83893 Precision: 0.39873 Recall: 0.25100 F1: 0.30807 F2: 0.27109 Total predictions: 14000 True positives: 502 False positives: 757 False negatives: 1498 True negatives: 11243 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85086 Precision: 0.46358 Recall: 0.28000 F1: 0.34913 F2: 0.30408 Total predictions: 14000 True positives: 560 False positives: 648 False negatives: 1440 True negatives: 11352 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.82386 Precision: 0.33116 Recall: 0.22850 F1: 0.27041 F2: 0.24360 Total predictions: 14000 True positives: 457 False positives: 923 False negatives: 1543 True negatives: 11077 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.84640 Precision: 0.35156 Recall: 0.18000 F1: 0.23810 F2: 0.19947 Total predictions: 15000 True positives: 360 False positives: 664 False negatives: 1640 True negatives: 12336 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84329 Precision: 0.42240 Recall: 0.26400 F1: 0.32492 F2: 0.28541 Total predictions: 14000 True positives: 528 False positives: 722 False negatives: 1472 True negatives: 11278 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.73673 Precision: 0.08131 Recall: 0.04350 F1: 0.05668 F2: 0.04796 Total predictions: 11000 True positives: 87 False positives: 983 False negatives: 1913 True negatives: 8017 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78192 Precision: 0.16194 Recall: 0.10000 F1: 0.12365 F2: 0.10828 Total predictions: 13000 True positives: 200 False positives: 1035 False negatives: 1800 True negatives: 9965 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.76608 Precision: 0.20133 Recall: 0.13600 F1: 0.16234 F2: 0.14544 Total predictions: 12000 True positives: 272 False positives: 1079 False negatives: 1728 True negatives: 8921 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82186 Precision: 0.15406 Recall: 0.05500 F1: 0.08106 F2: 0.06312 Total predictions: 14000 True positives: 110 False positives: 604 False negatives: 1890 True negatives: 11396 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83485 Precision: 0.44181 Recall: 0.27900 F1: 0.34202 F2: 0.30120 Total predictions: 13000 True positives: 558 False positives: 705 False negatives: 1442 True negatives: 10295 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78677 Precision: 0.13516 Recall: 0.07150 F1: 0.09353 F2: 0.07894 Total predictions: 13000 True positives: 143 False positives: 915 False negatives: 1857 True negatives: 10085 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.77750 Precision: 0.20354 Recall: 0.11500 F1: 0.14696 F2: 0.12596 Total predictions: 12000 True positives: 230 False positives: 900 False negatives: 1770 True negatives: 9100 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82436 Precision: 0.16200 Recall: 0.05500 F1: 0.08212 F2: 0.06337 Total predictions: 14000 True positives: 110 False positives: 569 False negatives: 1890 True negatives: 11431 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83562 Precision: 0.44507 Recall: 0.27750 F1: 0.34185 F2: 0.30010 Total predictions: 13000 True positives: 555 False positives: 692 False negatives: 1445 True negatives: 10308 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.79077 Precision: 0.18912 Recall: 0.10950 F1: 0.13870 F2: 0.11957 Total predictions: 13000 True positives: 219 False positives: 939 False negatives: 1781 True negatives: 10061 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81314 Precision: 0.15471 Recall: 0.06900 F1: 0.09544 F2: 0.07760 Total predictions: 14000 True positives: 138 False positives: 754 False negatives: 1862 True negatives: 11246 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83750 Precision: 0.40143 Recall: 0.28000 F1: 0.32990 F2: 0.29803 Total predictions: 14000 True positives: 560 False positives: 835 False negatives: 1440 True negatives: 11165 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82086 Precision: 0.15110 Recall: 0.05500 F1: 0.08065 F2: 0.06302 Total predictions: 14000 True positives: 110 False positives: 618 False negatives: 1890 True negatives: 11382 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83364 Precision: 0.37098 Recall: 0.23650 F1: 0.28885 F2: 0.25499 Total predictions: 14000 True positives: 473 False positives: 802 False negatives: 1527 True negatives: 11198 ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85033 Precision: 0.37306 Recall: 0.18000 F1: 0.24283 F2: 0.20078 Total predictions: 15000 True positives: 360 False positives: 605 False negatives: 1640 True negatives: 12395 ['poi', 'deferral_payments', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'director_fees'] Accuracy: 0.30486 Precision: 0.14912 Recall: 0.82150 F1: 0.25242 F2: 0.43196 Total predictions: 14000 True positives: 1643 False positives: 9375 False negatives: 357 True negatives: 2625 ['poi', 'deferral_payments', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.22531 Precision: 0.14511 Recall: 0.82500 F1: 0.24680 F2: 0.42589 Total predictions: 13000 True positives: 1650 False positives: 9721 False negatives: 350 True negatives: 1279 ['poi', 'deferral_payments', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'bonus'] Accuracy: 0.78083 Precision: 0.20170 Recall: 0.10650 F1: 0.13940 F2: 0.11760 Total predictions: 12000 True positives: 213 False positives: 843 False negatives: 1787 True negatives: 9157 ['poi', 'deferral_payments', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.83764 Precision: 0.38263 Recall: 0.22250 F1: 0.28138 F2: 0.24282 Total predictions: 14000 True positives: 445 False positives: 718 False negatives: 1555 True negatives: 11282 ['poi', 'deferral_payments', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.67250 Precision: 0.09590 Recall: 0.11450 F1: 0.10438 F2: 0.11022 Total predictions: 12000 True positives: 229 False positives: 2159 False negatives: 1771 True negatives: 7841 ['poi', 'deferral_payments', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.71592 Precision: 0.08583 Recall: 0.07300 F1: 0.07890 F2: 0.07525 Total predictions: 12000 True positives: 146 False positives: 1555 False negatives: 1854 True negatives: 8445 ['poi', 'deferral_payments', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.77531 Precision: 0.15711 Recall: 0.10550 F1: 0.12623 F2: 0.11292 Total predictions: 13000 True positives: 211 False positives: 1132 False negatives: 1789 True negatives: 9868 ['poi', 'deferral_payments', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'salary'] Accuracy: 0.76862 Precision: 0.15714 Recall: 0.11550 F1: 0.13314 F2: 0.12196 Total predictions: 13000 True positives: 231 False positives: 1239 False negatives: 1769 True negatives: 9761 ['poi', 'deferral_payments', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'total_payments'] Accuracy: 0.80457 Precision: 0.09382 Recall: 0.04250 F1: 0.05850 F2: 0.04772 Total predictions: 14000 True positives: 85 False positives: 821 False negatives: 1915 True negatives: 11179 ['poi', 'deferral_payments', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.83464 Precision: 0.36754 Recall: 0.21850 F1: 0.27407 F2: 0.23778 Total predictions: 14000 True positives: 437 False positives: 752 False negatives: 1563 True negatives: 11248 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.32292 Precision: 0.17875 Recall: 0.85200 F1: 0.29550 F2: 0.48594 Total predictions: 12000 True positives: 1704 False positives: 7829 False negatives: 296 True negatives: 2171 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31800 Precision: 0.16876 Recall: 0.87450 F1: 0.28292 F2: 0.47620 Total predictions: 13000 True positives: 1749 False positives: 8615 False negatives: 251 True negatives: 2385 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.31193 Precision: 0.14958 Recall: 0.88800 F1: 0.25604 F2: 0.44684 Total predictions: 15000 True positives: 1776 False positives: 10097 False negatives: 224 True negatives: 2903 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.35283 Precision: 0.18574 Recall: 0.85200 F1: 0.30499 F2: 0.49610 Total predictions: 12000 True positives: 1704 False positives: 7470 False negatives: 296 True negatives: 2530 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.34650 Precision: 0.18422 Recall: 0.85200 F1: 0.30293 F2: 0.49391 Total predictions: 12000 True positives: 1704 False positives: 7546 False negatives: 296 True negatives: 2454 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.30779 Precision: 0.15601 Recall: 0.87200 F1: 0.26466 F2: 0.45466 Total predictions: 14000 True positives: 1744 False positives: 9435 False negatives: 256 True negatives: 2565 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.30864 Precision: 0.15691 Recall: 0.87800 F1: 0.26624 F2: 0.45751 Total predictions: 14000 True positives: 1756 False positives: 9435 False negatives: 244 True negatives: 2565 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.31936 Precision: 0.15422 Recall: 0.83950 F1: 0.26057 F2: 0.44449 Total predictions: 14000 True positives: 1679 False positives: 9208 False negatives: 321 True negatives: 2792 ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.32086 Precision: 0.15922 Recall: 0.87700 F1: 0.26951 F2: 0.46119 Total predictions: 14000 True positives: 1754 False positives: 9262 False negatives: 246 True negatives: 2738 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.24650 Precision: 0.16492 Recall: 0.86650 F1: 0.27710 F2: 0.46818 Total predictions: 12000 True positives: 1733 False positives: 8775 False negatives: 267 True negatives: 1225 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22693 Precision: 0.14340 Recall: 0.88700 F1: 0.24689 F2: 0.43542 Total predictions: 14000 True positives: 1774 False positives: 10597 False negatives: 226 True negatives: 1403 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.25391 Precision: 0.18015 Recall: 0.87400 F1: 0.29873 F2: 0.49370 Total predictions: 11000 True positives: 1748 False positives: 7955 False negatives: 252 True negatives: 1045 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.25545 Precision: 0.18047 Recall: 0.87400 F1: 0.29916 F2: 0.49418 Total predictions: 11000 True positives: 1748 False positives: 7938 False negatives: 252 True negatives: 1062 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.23646 Precision: 0.15401 Recall: 0.88200 F1: 0.26223 F2: 0.45338 Total predictions: 13000 True positives: 1764 False positives: 9690 False negatives: 236 True negatives: 1310 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.23231 Precision: 0.15304 Recall: 0.88000 F1: 0.26074 F2: 0.45128 Total predictions: 13000 True positives: 1760 False positives: 9740 False negatives: 240 True negatives: 1260 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.22121 Precision: 0.13551 Recall: 0.82750 F1: 0.23289 F2: 0.40939 Total predictions: 14000 True positives: 1655 False positives: 10558 False negatives: 345 True negatives: 1442 ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23554 Precision: 0.15129 Recall: 0.86100 F1: 0.25736 F2: 0.44423 Total predictions: 13000 True positives: 1722 False positives: 9660 False negatives: 278 True negatives: 1340 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.84550 Precision: 0.43281 Recall: 0.26250 F1: 0.32680 F2: 0.28492 Total predictions: 14000 True positives: 525 False positives: 688 False negatives: 1475 True negatives: 11312 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.72017 Precision: 0.19024 Recall: 0.20850 F1: 0.19895 F2: 0.20457 Total predictions: 12000 True positives: 417 False positives: 1775 False negatives: 1583 True negatives: 8225 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.72117 Precision: 0.18669 Recall: 0.20050 F1: 0.19335 F2: 0.19758 Total predictions: 12000 True positives: 401 False positives: 1747 False negatives: 1599 True negatives: 8253 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.79677 Precision: 0.23339 Recall: 0.14050 F1: 0.17541 F2: 0.15265 Total predictions: 13000 True positives: 281 False positives: 923 False negatives: 1719 True negatives: 10077 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'salary'] Accuracy: 0.74458 Precision: 0.19589 Recall: 0.17150 F1: 0.18288 F2: 0.17588 Total predictions: 12000 True positives: 343 False positives: 1408 False negatives: 1657 True negatives: 8592 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.82186 Precision: 0.15503 Recall: 0.05550 F1: 0.08174 F2: 0.06368 Total predictions: 14000 True positives: 111 False positives: 605 False negatives: 1889 True negatives: 11395 ['poi', 'deferral_payments', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.83569 Precision: 0.44817 Recall: 0.29400 F1: 0.35507 F2: 0.31572 Total predictions: 13000 True positives: 588 False positives: 724 False negatives: 1412 True negatives: 10276 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85221 Precision: 0.47008 Recall: 0.27100 F1: 0.34380 F2: 0.29608 Total predictions: 14000 True positives: 542 False positives: 611 False negatives: 1458 True negatives: 11389 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85671 Precision: 0.49718 Recall: 0.26450 F1: 0.34530 F2: 0.29181 Total predictions: 14000 True positives: 529 False positives: 535 False negatives: 1471 True negatives: 11465 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86029 Precision: 0.52045 Recall: 0.28000 F1: 0.36411 F2: 0.30851 Total predictions: 14000 True positives: 560 False positives: 516 False negatives: 1440 True negatives: 11484 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.84614 Precision: 0.43750 Recall: 0.26950 F1: 0.33354 F2: 0.29192 Total predictions: 14000 True positives: 539 False positives: 693 False negatives: 1461 True negatives: 11307 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.85153 Precision: 0.38214 Recall: 0.18400 F1: 0.24840 F2: 0.20529 Total predictions: 15000 True positives: 368 False positives: 595 False negatives: 1632 True negatives: 12405 ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84679 Precision: 0.43983 Recall: 0.26500 F1: 0.33073 F2: 0.28789 Total predictions: 14000 True positives: 530 False positives: 675 False negatives: 1470 True negatives: 11325 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.67191 Precision: 0.10890 Recall: 0.11200 F1: 0.11043 F2: 0.11137 Total predictions: 11000 True positives: 224 False positives: 1833 False negatives: 1776 True negatives: 7167 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.72785 Precision: 0.14757 Recall: 0.16100 F1: 0.15399 F2: 0.15812 Total predictions: 13000 True positives: 322 False positives: 1860 False negatives: 1678 True negatives: 9140 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.70083 Precision: 0.17577 Recall: 0.21550 F1: 0.19362 F2: 0.20618 Total predictions: 12000 True positives: 431 False positives: 2021 False negatives: 1569 True negatives: 7979 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82336 Precision: 0.15873 Recall: 0.05500 F1: 0.08169 F2: 0.06327 Total predictions: 14000 True positives: 110 False positives: 583 False negatives: 1890 True negatives: 11417 ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84815 Precision: 0.50979 Recall: 0.33850 F1: 0.40685 F2: 0.36289 Total predictions: 13000 True positives: 677 False positives: 651 False negatives: 1323 True negatives: 10349 ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.72754 Precision: 0.13837 Recall: 0.14750 F1: 0.14279 F2: 0.14558 Total predictions: 13000 True positives: 295 False positives: 1837 False negatives: 1705 True negatives: 9163 ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.70942 Precision: 0.16793 Recall: 0.18800 F1: 0.17740 F2: 0.18361 Total predictions: 12000 True positives: 376 False positives: 1863 False negatives: 1624 True negatives: 8137 ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82479 Precision: 0.16244 Recall: 0.05450 F1: 0.08162 F2: 0.06285 Total predictions: 14000 True positives: 109 False positives: 562 False negatives: 1891 True negatives: 11438 ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85123 Precision: 0.52566 Recall: 0.33800 F1: 0.41144 F2: 0.36399 Total predictions: 13000 True positives: 676 False positives: 610 False negatives: 1324 True negatives: 10390 ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.78392 Precision: 0.22199 Recall: 0.16150 F1: 0.18698 F2: 0.17081 Total predictions: 13000 True positives: 323 False positives: 1132 False negatives: 1677 True negatives: 9868 ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.82629 Precision: 0.19663 Recall: 0.07000 F1: 0.10324 F2: 0.08035 Total predictions: 14000 True positives: 140 False positives: 572 False negatives: 1860 True negatives: 11428 ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84550 Precision: 0.43716 Recall: 0.28350 F1: 0.34395 F2: 0.30494 Total predictions: 14000 True positives: 567 False positives: 730 False negatives: 1433 True negatives: 11270 ['poi', 'deferral_payments', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.81993 Precision: 0.15769 Recall: 0.06000 F1: 0.08693 F2: 0.06849 Total predictions: 14000 True positives: 120 False positives: 641 False negatives: 1880 True negatives: 11359 ['poi', 'deferral_payments', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.84614 Precision: 0.44059 Recall: 0.28550 F1: 0.34648 F2: 0.30712 Total predictions: 14000 True positives: 571 False positives: 725 False negatives: 1429 True negatives: 11275 ['poi', 'deferral_payments', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85193 Precision: 0.38549 Recall: 0.18600 F1: 0.25093 F2: 0.20747 Total predictions: 15000 True positives: 372 False positives: 593 False negatives: 1628 True negatives: 12407 ['poi', 'deferral_payments', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.29650 Precision: 0.17641 Recall: 0.87800 F1: 0.29379 F2: 0.48903 Total predictions: 12000 True positives: 1756 False positives: 8198 False negatives: 244 True negatives: 1802 ['poi', 'deferral_payments', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'bonus'] Accuracy: 0.32192 Precision: 0.18284 Recall: 0.88450 F1: 0.30304 F2: 0.50042 Total predictions: 12000 True positives: 1769 False positives: 7906 False negatives: 231 True negatives: 2094 ['poi', 'deferral_payments', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.29347 Precision: 0.14395 Recall: 0.86900 F1: 0.24698 F2: 0.43290 Total predictions: 15000 True positives: 1738 False positives: 10336 False negatives: 262 True negatives: 2664 ['poi', 'deferral_payments', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29131 Precision: 0.16498 Recall: 0.88800 F1: 0.27826 F2: 0.47322 Total predictions: 13000 True positives: 1776 False positives: 8989 False negatives: 224 True negatives: 2011 ['poi', 'deferral_payments', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29762 Precision: 0.15831 Recall: 0.82600 F1: 0.26570 F2: 0.44806 Total predictions: 13000 True positives: 1652 False positives: 8783 False negatives: 348 True negatives: 2217 ['poi', 'deferral_payments', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.29564 Precision: 0.15501 Recall: 0.88300 F1: 0.26372 F2: 0.45532 Total predictions: 14000 True positives: 1766 False positives: 9627 False negatives: 234 True negatives: 2373 ['poi', 'deferral_payments', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'salary'] Accuracy: 0.30908 Precision: 0.16663 Recall: 0.87250 F1: 0.27983 F2: 0.47234 Total predictions: 13000 True positives: 1745 False positives: 8727 False negatives: 255 True negatives: 2273 ['poi', 'deferral_payments', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'total_payments'] Accuracy: 0.39054 Precision: 0.17932 Recall: 0.82800 F1: 0.29479 F2: 0.48042 Total predictions: 13000 True positives: 1656 False positives: 7579 False negatives: 344 True negatives: 3421 ['poi', 'deferral_payments', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.29779 Precision: 0.15572 Recall: 0.88550 F1: 0.26486 F2: 0.45708 Total predictions: 14000 True positives: 1771 False positives: 9602 False negatives: 229 True negatives: 2398 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.23864 Precision: 0.18019 Recall: 0.89800 F1: 0.30016 F2: 0.49981 Total predictions: 11000 True positives: 1796 False positives: 8171 False negatives: 204 True negatives: 829 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21729 Precision: 0.13914 Recall: 0.86350 F1: 0.23966 F2: 0.42304 Total predictions: 14000 True positives: 1727 False positives: 10685 False negatives: 273 True negatives: 1315 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.22175 Precision: 0.16164 Recall: 0.87650 F1: 0.27295 F2: 0.46511 Total predictions: 12000 True positives: 1753 False positives: 9092 False negatives: 247 True negatives: 908 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.21550 Precision: 0.15465 Recall: 0.83000 F1: 0.26072 F2: 0.44304 Total predictions: 12000 True positives: 1660 False positives: 9074 False negatives: 340 True negatives: 926 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20485 Precision: 0.14766 Recall: 0.87350 F1: 0.25262 F2: 0.44047 Total predictions: 13000 True positives: 1747 False positives: 10084 False negatives: 253 True negatives: 916 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.23591 Precision: 0.17772 Recall: 0.88300 F1: 0.29589 F2: 0.49228 Total predictions: 11000 True positives: 1766 False positives: 8171 False negatives: 234 True negatives: 829 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.24485 Precision: 0.14523 Recall: 0.80000 F1: 0.24583 F2: 0.42068 Total predictions: 13000 True positives: 1600 False positives: 9417 False negatives: 400 True negatives: 1583 ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21400 Precision: 0.14910 Recall: 0.87300 F1: 0.25470 F2: 0.44292 Total predictions: 13000 True positives: 1746 False positives: 9964 False negatives: 254 True negatives: 1036 ['poi', 'deferral_payments', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.83871 Precision: 0.37548 Recall: 0.19450 F1: 0.25626 F2: 0.21525 Total predictions: 14000 True positives: 389 False positives: 647 False negatives: 1611 True negatives: 11353 ['poi', 'deferral_payments', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79033 Precision: 0.18689 Recall: 0.07700 F1: 0.10907 F2: 0.08726 Total predictions: 12000 True positives: 154 False positives: 670 False negatives: 1846 True negatives: 9330 ['poi', 'deferral_payments', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.77975 Precision: 0.11497 Recall: 0.04800 F1: 0.06772 F2: 0.05433 Total predictions: 12000 True positives: 96 False positives: 739 False negatives: 1904 True negatives: 9261 ['poi', 'deferral_payments', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.80292 Precision: 0.15815 Recall: 0.06500 F1: 0.09213 F2: 0.07368 Total predictions: 13000 True positives: 130 False positives: 692 False negatives: 1870 True negatives: 10308 ['poi', 'deferral_payments', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'salary'] Accuracy: 0.77636 Precision: 0.18750 Recall: 0.06900 F1: 0.10088 F2: 0.07898 Total predictions: 11000 True positives: 138 False positives: 598 False negatives: 1862 True negatives: 8402 ['poi', 'deferral_payments', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'total_payments'] Accuracy: 0.81200 Precision: 0.19167 Recall: 0.06900 F1: 0.10147 F2: 0.07913 Total predictions: 13000 True positives: 138 False positives: 582 False negatives: 1862 True negatives: 10418 ['poi', 'deferral_payments', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83162 Precision: 0.39806 Recall: 0.18450 F1: 0.25214 F2: 0.20668 Total predictions: 13000 True positives: 369 False positives: 558 False negatives: 1631 True negatives: 10442 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84529 Precision: 0.40998 Recall: 0.18900 F1: 0.25873 F2: 0.21184 Total predictions: 14000 True positives: 378 False positives: 544 False negatives: 1622 True negatives: 11456 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84229 Precision: 0.39053 Recall: 0.18550 F1: 0.25153 F2: 0.20726 Total predictions: 14000 True positives: 371 False positives: 579 False negatives: 1629 True negatives: 11421 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85029 Precision: 0.45181 Recall: 0.22500 F1: 0.30040 F2: 0.25011 Total predictions: 14000 True positives: 450 False positives: 546 False negatives: 1550 True negatives: 11454 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'salary'] Accuracy: 0.83850 Precision: 0.37015 Recall: 0.18600 F1: 0.24759 F2: 0.20655 Total predictions: 14000 True positives: 372 False positives: 633 False negatives: 1628 True negatives: 11367 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.83780 Precision: 0.30513 Recall: 0.16950 F1: 0.21794 F2: 0.18604 Total predictions: 15000 True positives: 339 False positives: 772 False negatives: 1661 True negatives: 12228 ['poi', 'deferral_payments', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83754 Precision: 0.44499 Recall: 0.22650 F1: 0.30020 F2: 0.25116 Total predictions: 13000 True positives: 453 False positives: 565 False negatives: 1547 True negatives: 10435 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77008 Precision: 0.01284 Recall: 0.00500 F1: 0.00720 F2: 0.00570 Total predictions: 12000 True positives: 10 False positives: 769 False negatives: 1990 True negatives: 9231 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80069 Precision: 0.12164 Recall: 0.04750 F1: 0.06832 F2: 0.05409 Total predictions: 13000 True positives: 95 False positives: 686 False negatives: 1905 True negatives: 10314 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79125 Precision: 0.16645 Recall: 0.06300 F1: 0.09140 F2: 0.07194 Total predictions: 12000 True positives: 126 False positives: 631 False negatives: 1874 True negatives: 9369 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.81292 Precision: 0.03846 Recall: 0.00900 F1: 0.01459 F2: 0.01063 Total predictions: 13000 True positives: 18 False positives: 450 False negatives: 1982 True negatives: 10550 ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82992 Precision: 0.38860 Recall: 0.18400 F1: 0.24975 F2: 0.20566 Total predictions: 13000 True positives: 368 False positives: 579 False negatives: 1632 True negatives: 10421 ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79023 Precision: 0.11777 Recall: 0.05600 F1: 0.07591 F2: 0.06256 Total predictions: 13000 True positives: 112 False positives: 839 False negatives: 1888 True negatives: 10161 ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78425 Precision: 0.14042 Recall: 0.05750 F1: 0.08159 F2: 0.06520 Total predictions: 12000 True positives: 115 False positives: 704 False negatives: 1885 True negatives: 9296 ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.81608 Precision: 0.03341 Recall: 0.00700 F1: 0.01158 F2: 0.00831 Total predictions: 13000 True positives: 14 False positives: 405 False negatives: 1986 True negatives: 10595 ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83369 Precision: 0.41000 Recall: 0.18450 F1: 0.25448 F2: 0.20730 Total predictions: 13000 True positives: 369 False positives: 531 False negatives: 1631 True negatives: 10469 ['poi', 'deferral_payments', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'other', 'restricted_stock', 'salary'] Accuracy: 0.80723 Precision: 0.16446 Recall: 0.06200 F1: 0.09005 F2: 0.07082 Total predictions: 13000 True positives: 124 False positives: 630 False negatives: 1876 True negatives: 10370 ['poi', 'deferral_payments', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.81736 Precision: 0.15912 Recall: 0.06500 F1: 0.09230 F2: 0.07372 Total predictions: 14000 True positives: 130 False positives: 687 False negatives: 1870 True negatives: 11313 ['poi', 'deferral_payments', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84471 Precision: 0.41944 Recall: 0.22650 F1: 0.29416 F2: 0.24945 Total predictions: 14000 True positives: 453 False positives: 627 False negatives: 1547 True negatives: 11373 ['poi', 'deferral_payments', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'other', 'salary', 'total_payments'] Accuracy: 0.81277 Precision: 0.18182 Recall: 0.06200 F1: 0.09247 F2: 0.07141 Total predictions: 13000 True positives: 124 False positives: 558 False negatives: 1876 True negatives: 10442 ['poi', 'deferral_payments', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83262 Precision: 0.40112 Recall: 0.17850 F1: 0.24706 F2: 0.20079 Total predictions: 13000 True positives: 357 False positives: 533 False negatives: 1643 True negatives: 10467 ['poi', 'deferral_payments', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83814 Precision: 0.36088 Recall: 0.17250 F1: 0.23342 F2: 0.19261 Total predictions: 14000 True positives: 345 False positives: 611 False negatives: 1655 True negatives: 11389 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.32142 Precision: 0.19009 Recall: 0.94200 F1: 0.31635 F2: 0.52593 Total predictions: 12000 True positives: 1884 False positives: 8027 False negatives: 116 True negatives: 1973 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26636 Precision: 0.15655 Recall: 0.94250 F1: 0.26850 F2: 0.47029 Total predictions: 14000 True positives: 1885 False positives: 10156 False negatives: 115 True negatives: 1844 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.32973 Precision: 0.20449 Recall: 0.92950 F1: 0.33523 F2: 0.54385 Total predictions: 11000 True positives: 1859 False positives: 7232 False negatives: 141 True negatives: 1768 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.33273 Precision: 0.19783 Recall: 0.87400 F1: 0.32263 F2: 0.51913 Total predictions: 11000 True positives: 1748 False positives: 7088 False negatives: 252 True negatives: 1912 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.27079 Precision: 0.15724 Recall: 0.94150 F1: 0.26948 F2: 0.47134 Total predictions: 14000 True positives: 1883 False positives: 10092 False negatives: 117 True negatives: 1908 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.29269 Precision: 0.17215 Recall: 0.94450 F1: 0.29122 F2: 0.49781 Total predictions: 13000 True positives: 1889 False positives: 9084 False negatives: 111 True negatives: 1916 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.28892 Precision: 0.16531 Recall: 0.89450 F1: 0.27905 F2: 0.47524 Total predictions: 13000 True positives: 1789 False positives: 9033 False negatives: 211 True negatives: 1967 ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23308 Precision: 0.09112 Recall: 0.91400 F1: 0.16571 F2: 0.32571 Total predictions: 12000 True positives: 914 False positives: 9117 False negatives: 86 True negatives: 1883 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.28800 Precision: 0.15174 Recall: 0.94550 F1: 0.26151 F2: 0.46208 Total predictions: 15000 True positives: 1891 False positives: 10571 False negatives: 109 True negatives: 2429 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.30323 Precision: 0.17372 Recall: 0.93950 F1: 0.29323 F2: 0.49931 Total predictions: 13000 True positives: 1879 False positives: 8937 False negatives: 121 True negatives: 2063 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30446 Precision: 0.16664 Recall: 0.88000 F1: 0.28021 F2: 0.47409 Total predictions: 13000 True positives: 1760 False positives: 8802 False negatives: 240 True negatives: 2198 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.29471 Precision: 0.16171 Recall: 0.94100 F1: 0.27599 F2: 0.47917 Total predictions: 14000 True positives: 1882 False positives: 9756 False negatives: 118 True negatives: 2244 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'salary'] Accuracy: 0.31400 Precision: 0.17606 Recall: 0.94000 F1: 0.29658 F2: 0.50327 Total predictions: 13000 True positives: 1880 False positives: 8798 False negatives: 120 True negatives: 2202 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.37177 Precision: 0.17870 Recall: 0.85750 F1: 0.29577 F2: 0.48730 Total predictions: 13000 True positives: 1715 False positives: 7882 False negatives: 285 True negatives: 3118 ['poi', 'deferral_payments', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.30036 Precision: 0.16288 Recall: 0.94150 F1: 0.27771 F2: 0.48131 Total predictions: 14000 True positives: 1883 False positives: 9678 False negatives: 117 True negatives: 2322 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.28000 Precision: 0.15079 Recall: 0.95000 F1: 0.26027 F2: 0.46117 Total predictions: 15000 True positives: 1900 False positives: 10700 False negatives: 100 True negatives: 2300 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.29000 Precision: 0.15211 Recall: 0.94550 F1: 0.26206 F2: 0.46275 Total predictions: 15000 True positives: 1891 False positives: 10541 False negatives: 109 True negatives: 2459 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.29943 Precision: 0.16269 Recall: 0.94150 F1: 0.27744 F2: 0.48100 Total predictions: 14000 True positives: 1883 False positives: 9691 False negatives: 117 True negatives: 2309 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.28553 Precision: 0.15129 Recall: 0.94550 F1: 0.26085 F2: 0.46124 Total predictions: 15000 True positives: 1891 False positives: 10608 False negatives: 109 True negatives: 2392 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.68627 Precision: 0.18724 Recall: 0.40500 F1: 0.25609 F2: 0.32857 Total predictions: 15000 True positives: 810 False positives: 3516 False negatives: 1190 True negatives: 9484 ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.32786 Precision: 0.16628 Recall: 0.92300 F1: 0.28179 F2: 0.48320 Total predictions: 14000 True positives: 1846 False positives: 9256 False negatives: 154 True negatives: 2744 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.33100 Precision: 0.18334 Recall: 0.87250 F1: 0.30300 F2: 0.49806 Total predictions: 12000 True positives: 1745 False positives: 7773 False negatives: 255 True negatives: 2227 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.28793 Precision: 0.15907 Recall: 0.92950 F1: 0.27164 F2: 0.47214 Total predictions: 14000 True positives: 1859 False positives: 9828 False negatives: 141 True negatives: 2172 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.30046 Precision: 0.17200 Recall: 0.93000 F1: 0.29031 F2: 0.49431 Total predictions: 13000 True positives: 1860 False positives: 8954 False negatives: 140 True negatives: 2046 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.29743 Precision: 0.15680 Recall: 0.89500 F1: 0.26685 F2: 0.46096 Total predictions: 14000 True positives: 1790 False positives: 9626 False negatives: 210 True negatives: 2374 ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.29943 Precision: 0.16111 Recall: 0.92800 F1: 0.27456 F2: 0.47541 Total predictions: 14000 True positives: 1856 False positives: 9664 False negatives: 144 True negatives: 2336 ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29264 Precision: 0.15492 Recall: 0.88700 F1: 0.26377 F2: 0.45602 Total predictions: 14000 True positives: 1774 False positives: 9677 False negatives: 226 True negatives: 2323 ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29885 Precision: 0.16537 Recall: 0.87900 F1: 0.27836 F2: 0.47179 Total predictions: 13000 True positives: 1758 False positives: 8873 False negatives: 242 True negatives: 2127 ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.30136 Precision: 0.15762 Recall: 0.89550 F1: 0.26805 F2: 0.46248 Total predictions: 14000 True positives: 1791 False positives: 9572 False negatives: 209 True negatives: 2428 ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.30007 Precision: 0.16106 Recall: 0.92650 F1: 0.27442 F2: 0.47501 Total predictions: 14000 True positives: 1853 False positives: 9652 False negatives: 147 True negatives: 2348 ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.29436 Precision: 0.16123 Recall: 0.93750 F1: 0.27515 F2: 0.47761 Total predictions: 14000 True positives: 1875 False positives: 9754 False negatives: 125 True negatives: 2246 ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.39579 Precision: 0.16030 Recall: 0.76200 F1: 0.26488 F2: 0.43525 Total predictions: 14000 True positives: 1524 False positives: 7983 False negatives: 476 True negatives: 4017 ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.29864 Precision: 0.16254 Recall: 0.94150 F1: 0.27722 F2: 0.48073 Total predictions: 14000 True positives: 1883 False positives: 9702 False negatives: 117 True negatives: 2298 ['poi', 'deferral_payments', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.33808 Precision: 0.17370 Recall: 0.87900 F1: 0.29008 F2: 0.48507 Total predictions: 13000 True positives: 1758 False positives: 8363 False negatives: 242 True negatives: 2637 ['poi', 'deferral_payments', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.29586 Precision: 0.16199 Recall: 0.94150 F1: 0.27642 F2: 0.47977 Total predictions: 14000 True positives: 1883 False positives: 9741 False negatives: 117 True negatives: 2259 ['poi', 'deferral_payments', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.67807 Precision: 0.19568 Recall: 0.40300 F1: 0.26344 F2: 0.33254 Total predictions: 14000 True positives: 806 False positives: 3313 False negatives: 1194 True negatives: 8687 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21293 Precision: 0.14656 Recall: 0.93500 F1: 0.25340 F2: 0.45041 Total predictions: 14000 True positives: 1870 False positives: 10889 False negatives: 130 True negatives: 1111 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.22908 Precision: 0.17098 Recall: 0.94200 F1: 0.28942 F2: 0.49529 Total predictions: 12000 True positives: 1884 False positives: 9135 False negatives: 116 True negatives: 865 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.22325 Precision: 0.16291 Recall: 0.88450 F1: 0.27514 F2: 0.46901 Total predictions: 12000 True positives: 1769 False positives: 9090 False negatives: 231 True negatives: 910 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.21400 Precision: 0.15684 Recall: 0.93900 F1: 0.26878 F2: 0.47011 Total predictions: 13000 True positives: 1878 False positives: 10096 False negatives: 122 True negatives: 904 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.24236 Precision: 0.18625 Recall: 0.94000 F1: 0.31090 F2: 0.51951 Total predictions: 11000 True positives: 1880 False positives: 8214 False negatives: 120 True negatives: 786 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.23877 Precision: 0.14624 Recall: 0.81600 F1: 0.24802 F2: 0.42589 Total predictions: 13000 True positives: 1632 False positives: 9528 False negatives: 368 True negatives: 1472 ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22077 Precision: 0.15800 Recall: 0.93900 F1: 0.27049 F2: 0.47219 Total predictions: 13000 True positives: 1878 False positives: 10008 False negatives: 122 True negatives: 992 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.20064 Precision: 0.14576 Recall: 0.94550 F1: 0.25259 F2: 0.45082 Total predictions: 14000 True positives: 1891 False positives: 11082 False negatives: 109 True negatives: 918 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.20200 Precision: 0.14641 Recall: 0.94950 F1: 0.25371 F2: 0.45279 Total predictions: 14000 True positives: 1899 False positives: 11071 False negatives: 101 True negatives: 929 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.22015 Precision: 0.15628 Recall: 0.92500 F1: 0.26738 F2: 0.46628 Total predictions: 13000 True positives: 1850 False positives: 9988 False negatives: 150 True negatives: 1012 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.20607 Precision: 0.14668 Recall: 0.94600 F1: 0.25398 F2: 0.45265 Total predictions: 14000 True positives: 1892 False positives: 11007 False negatives: 108 True negatives: 993 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.24407 Precision: 0.13131 Recall: 0.83150 F1: 0.22680 F2: 0.40237 Total predictions: 15000 True positives: 1663 False positives: 11002 False negatives: 337 True negatives: 1998 ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.25915 Precision: 0.15814 Recall: 0.88250 F1: 0.26822 F2: 0.46057 Total predictions: 13000 True positives: 1765 False positives: 9396 False negatives: 235 True negatives: 1604 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.16550 Precision: 0.09630 Recall: 0.87600 F1: 0.17352 F2: 0.33443 Total predictions: 10000 True positives: 876 False positives: 8221 False negatives: 124 True negatives: 779 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.21485 Precision: 0.15612 Recall: 0.93150 F1: 0.26742 F2: 0.46732 Total predictions: 13000 True positives: 1863 False positives: 10070 False negatives: 137 True negatives: 930 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.22783 Precision: 0.16979 Recall: 0.93400 F1: 0.28734 F2: 0.49153 Total predictions: 12000 True positives: 1868 False positives: 9134 False negatives: 132 True negatives: 866 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.23279 Precision: 0.13751 Recall: 0.82900 F1: 0.23590 F2: 0.41332 Total predictions: 14000 True positives: 1658 False positives: 10399 False negatives: 342 True negatives: 1601 ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.21654 Precision: 0.15762 Recall: 0.94200 F1: 0.27005 F2: 0.47211 Total predictions: 13000 True positives: 1884 False positives: 10069 False negatives: 116 True negatives: 931 ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.20746 Precision: 0.14773 Recall: 0.87050 F1: 0.25259 F2: 0.43998 Total predictions: 13000 True positives: 1741 False positives: 10044 False negatives: 259 True negatives: 956 ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.22733 Precision: 0.16327 Recall: 0.88150 F1: 0.27551 F2: 0.46893 Total predictions: 12000 True positives: 1763 False positives: 9035 False negatives: 237 True negatives: 965 ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.24538 Precision: 0.14744 Recall: 0.81650 F1: 0.24977 F2: 0.42802 Total predictions: 13000 True positives: 1633 False positives: 9443 False negatives: 367 True negatives: 1557 ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.21454 Precision: 0.15733 Recall: 0.94250 F1: 0.26965 F2: 0.47170 Total predictions: 13000 True positives: 1885 False positives: 10096 False negatives: 115 True negatives: 904 ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.21415 Precision: 0.15658 Recall: 0.93650 F1: 0.26830 F2: 0.46914 Total predictions: 13000 True positives: 1873 False positives: 10089 False negatives: 127 True negatives: 911 ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.22850 Precision: 0.13587 Recall: 0.82100 F1: 0.23316 F2: 0.40876 Total predictions: 14000 True positives: 1642 False positives: 10443 False negatives: 358 True negatives: 1557 ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.21654 Precision: 0.15612 Recall: 0.92900 F1: 0.26732 F2: 0.46681 Total predictions: 13000 True positives: 1858 False positives: 10043 False negatives: 142 True negatives: 957 ['poi', 'deferral_payments', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.24015 Precision: 0.14761 Recall: 0.82500 F1: 0.25042 F2: 0.43018 Total predictions: 13000 True positives: 1650 False positives: 9528 False negatives: 350 True negatives: 1472 ['poi', 'deferral_payments', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.21346 Precision: 0.15617 Recall: 0.93400 F1: 0.26760 F2: 0.46791 Total predictions: 13000 True positives: 1868 False positives: 10093 False negatives: 132 True negatives: 907 ['poi', 'deferral_payments', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.24993 Precision: 0.14025 Recall: 0.82850 F1: 0.23988 F2: 0.41812 Total predictions: 14000 True positives: 1657 False positives: 10158 False negatives: 343 True negatives: 1842 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84654 Precision: 0.50260 Recall: 0.24200 F1: 0.32670 F2: 0.27000 Total predictions: 13000 True positives: 484 False positives: 479 False negatives: 1516 True negatives: 10521 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86243 Precision: 0.54084 Recall: 0.24500 F1: 0.33723 F2: 0.27510 Total predictions: 14000 True positives: 490 False positives: 416 False negatives: 1510 True negatives: 11584 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86464 Precision: 0.55142 Recall: 0.28150 F1: 0.37272 F2: 0.31205 Total predictions: 14000 True positives: 563 False positives: 458 False negatives: 1437 True negatives: 11542 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.83985 Precision: 0.46154 Recall: 0.24600 F1: 0.32094 F2: 0.27134 Total predictions: 13000 True positives: 492 False positives: 574 False negatives: 1508 True negatives: 10426 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84953 Precision: 0.37085 Recall: 0.18450 F1: 0.24641 F2: 0.20511 Total predictions: 15000 True positives: 369 False positives: 626 False negatives: 1631 True negatives: 12374 ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83892 Precision: 0.45962 Recall: 0.26750 F1: 0.33818 F2: 0.29190 Total predictions: 13000 True positives: 535 False positives: 629 False negatives: 1465 True negatives: 10371 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79708 Precision: 0.26333 Recall: 0.12100 F1: 0.16581 F2: 0.13567 Total predictions: 12000 True positives: 242 False positives: 677 False negatives: 1758 True negatives: 9323 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81323 Precision: 0.26890 Recall: 0.12450 F1: 0.17020 F2: 0.13948 Total predictions: 13000 True positives: 249 False positives: 677 False negatives: 1751 True negatives: 10323 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80575 Precision: 0.32921 Recall: 0.15950 F1: 0.21489 F2: 0.17783 Total predictions: 12000 True positives: 319 False positives: 650 False negatives: 1681 True negatives: 9350 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82277 Precision: 0.23611 Recall: 0.06800 F1: 0.10559 F2: 0.07929 Total predictions: 13000 True positives: 136 False positives: 440 False negatives: 1864 True negatives: 10560 ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84054 Precision: 0.46586 Recall: 0.24900 F1: 0.32454 F2: 0.27456 Total predictions: 13000 True positives: 498 False positives: 571 False negatives: 1502 True negatives: 10429 ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80292 Precision: 0.21501 Recall: 0.10600 F1: 0.14200 F2: 0.11796 Total predictions: 13000 True positives: 212 False positives: 774 False negatives: 1788 True negatives: 10226 ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79100 Precision: 0.22511 Recall: 0.10400 F1: 0.14227 F2: 0.11654 Total predictions: 12000 True positives: 208 False positives: 716 False negatives: 1792 True negatives: 9284 ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82708 Precision: 0.26336 Recall: 0.06900 F1: 0.10935 F2: 0.08095 Total predictions: 13000 True positives: 138 False positives: 386 False negatives: 1862 True negatives: 10614 ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84723 Precision: 0.50710 Recall: 0.25000 F1: 0.33490 F2: 0.27821 Total predictions: 13000 True positives: 500 False positives: 486 False negatives: 1500 True negatives: 10514 ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.81631 Precision: 0.29876 Recall: 0.14400 F1: 0.19433 F2: 0.16064 Total predictions: 13000 True positives: 288 False positives: 676 False negatives: 1712 True negatives: 10324 ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82529 Precision: 0.20658 Recall: 0.07850 F1: 0.11377 F2: 0.08961 Total predictions: 14000 True positives: 157 False positives: 603 False negatives: 1843 True negatives: 11397 ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85879 Precision: 0.51043 Recall: 0.28150 F1: 0.36287 F2: 0.30924 Total predictions: 14000 True positives: 563 False positives: 540 False negatives: 1437 True negatives: 11460 ['poi', 'deferral_payments', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'salary', 'total_payments'] Accuracy: 0.81508 Precision: 0.21788 Recall: 0.07800 F1: 0.11487 F2: 0.08949 Total predictions: 13000 True positives: 156 False positives: 560 False negatives: 1844 True negatives: 10440 ['poi', 'deferral_payments', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.83323 Precision: 0.42279 Recall: 0.23000 F1: 0.29793 F2: 0.25308 Total predictions: 13000 True positives: 460 False positives: 628 False negatives: 1540 True negatives: 10372 ['poi', 'deferral_payments', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84757 Precision: 0.42386 Recall: 0.18650 F1: 0.25903 F2: 0.21002 Total predictions: 14000 True positives: 373 False positives: 507 False negatives: 1627 True negatives: 11493 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.87571 Precision: 0.65366 Recall: 0.27650 F1: 0.38862 F2: 0.31257 Total predictions: 14000 True positives: 553 False positives: 293 False negatives: 1447 True negatives: 11707 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.87386 Precision: 0.64268 Recall: 0.26350 F1: 0.37376 F2: 0.29875 Total predictions: 14000 True positives: 527 False positives: 293 False negatives: 1473 True negatives: 11707 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84508 Precision: 0.49294 Recall: 0.24450 F1: 0.32687 F2: 0.27191 Total predictions: 13000 True positives: 489 False positives: 503 False negatives: 1511 True negatives: 10497 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85320 Precision: 0.39255 Recall: 0.18450 F1: 0.25102 F2: 0.20638 Total predictions: 15000 True positives: 369 False positives: 571 False negatives: 1631 True negatives: 12429 ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85664 Precision: 0.49686 Recall: 0.27650 F1: 0.35528 F2: 0.30341 Total predictions: 14000 True positives: 553 False positives: 560 False negatives: 1447 True negatives: 11440 ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.87371 Precision: 0.63272 Recall: 0.27650 F1: 0.38483 F2: 0.31158 Total predictions: 14000 True positives: 553 False positives: 321 False negatives: 1447 True negatives: 11679 ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.85779 Precision: 0.50460 Recall: 0.24700 F1: 0.33165 F2: 0.27509 Total predictions: 14000 True positives: 494 False positives: 485 False negatives: 1506 True negatives: 11515 ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85380 Precision: 0.39612 Recall: 0.18400 F1: 0.25128 F2: 0.20607 Total predictions: 15000 True positives: 368 False positives: 561 False negatives: 1632 True negatives: 12439 ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84700 Precision: 0.50520 Recall: 0.26700 F1: 0.34936 F2: 0.29480 Total predictions: 13000 True positives: 534 False positives: 523 False negatives: 1466 True negatives: 10477 ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.86829 Precision: 0.58263 Recall: 0.27500 F1: 0.37364 F2: 0.30747 Total predictions: 14000 True positives: 550 False positives: 394 False negatives: 1450 True negatives: 11606 ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85493 Precision: 0.40222 Recall: 0.18100 F1: 0.24966 F2: 0.20337 Total predictions: 15000 True positives: 362 False positives: 538 False negatives: 1638 True negatives: 12462 ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85008 Precision: 0.52320 Recall: 0.28750 F1: 0.37109 F2: 0.31597 Total predictions: 13000 True positives: 575 False positives: 524 False negatives: 1425 True negatives: 10476 ['poi', 'deferral_payments', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.84773 Precision: 0.35772 Recall: 0.17850 F1: 0.23816 F2: 0.19838 Total predictions: 15000 True positives: 357 False positives: 641 False negatives: 1643 True negatives: 12359 ['poi', 'deferral_payments', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84377 Precision: 0.48590 Recall: 0.26700 F1: 0.34463 F2: 0.29344 Total predictions: 13000 True positives: 534 False positives: 565 False negatives: 1466 True negatives: 10435 ['poi', 'deferral_payments', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84893 Precision: 0.38824 Recall: 0.23100 F1: 0.28966 F2: 0.25136 Total predictions: 15000 True positives: 462 False positives: 728 False negatives: 1538 True negatives: 12272 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80831 Precision: 0.19554 Recall: 0.07900 F1: 0.11254 F2: 0.08969 Total predictions: 13000 True positives: 158 False positives: 650 False negatives: 1842 True negatives: 10350 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78375 Precision: 0.21367 Recall: 0.11100 F1: 0.14610 F2: 0.12280 Total predictions: 12000 True positives: 222 False positives: 817 False negatives: 1778 True negatives: 9183 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83064 Precision: 0.10448 Recall: 0.02450 F1: 0.03969 F2: 0.02893 Total predictions: 14000 True positives: 49 False positives: 420 False negatives: 1951 True negatives: 11580 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85792 Precision: 0.57051 Recall: 0.30950 F1: 0.40130 F2: 0.34067 Total predictions: 13000 True positives: 619 False positives: 466 False negatives: 1381 True negatives: 10534 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.80662 Precision: 0.24248 Recall: 0.12100 F1: 0.16144 F2: 0.13447 Total predictions: 13000 True positives: 242 False positives: 756 False negatives: 1758 True negatives: 10244 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82493 Precision: 0.16887 Recall: 0.05750 F1: 0.08579 F2: 0.06624 Total predictions: 14000 True positives: 115 False positives: 566 False negatives: 1885 True negatives: 11434 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85950 Precision: 0.51616 Recall: 0.26350 F1: 0.34889 F2: 0.29210 Total predictions: 14000 True positives: 527 False positives: 494 False negatives: 1473 True negatives: 11506 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82354 Precision: 0.21176 Recall: 0.05400 F1: 0.08606 F2: 0.06345 Total predictions: 13000 True positives: 108 False positives: 402 False negatives: 1892 True negatives: 10598 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.85138 Precision: 0.53505 Recall: 0.25950 F1: 0.34949 F2: 0.28930 Total predictions: 13000 True positives: 519 False positives: 451 False negatives: 1481 True negatives: 10549 ['poi', 'deferral_payments', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84471 Precision: 0.40397 Recall: 0.18300 F1: 0.25189 F2: 0.20548 Total predictions: 14000 True positives: 366 False positives: 540 False negatives: 1634 True negatives: 11460 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.80677 Precision: 0.23222 Recall: 0.11100 F1: 0.15020 F2: 0.12394 Total predictions: 13000 True positives: 222 False positives: 734 False negatives: 1778 True negatives: 10266 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82614 Precision: 0.18822 Recall: 0.06550 F1: 0.09718 F2: 0.07532 Total predictions: 14000 True positives: 131 False positives: 565 False negatives: 1869 True negatives: 11435 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86307 Precision: 0.54057 Recall: 0.27650 F1: 0.36586 F2: 0.30644 Total predictions: 14000 True positives: 553 False positives: 470 False negatives: 1447 True negatives: 11530 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.82638 Precision: 0.24453 Recall: 0.06150 F1: 0.09828 F2: 0.07233 Total predictions: 13000 True positives: 123 False positives: 380 False negatives: 1877 True negatives: 10620 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84546 Precision: 0.49528 Recall: 0.23600 F1: 0.31967 F2: 0.26360 Total predictions: 13000 True positives: 472 False positives: 481 False negatives: 1528 True negatives: 10519 ['poi', 'deferral_payments', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84700 Precision: 0.42022 Recall: 0.18700 F1: 0.25882 F2: 0.21035 Total predictions: 14000 True positives: 374 False positives: 516 False negatives: 1626 True negatives: 11484 ['poi', 'deferral_payments', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82429 Precision: 0.18579 Recall: 0.06800 F1: 0.09956 F2: 0.07787 Total predictions: 14000 True positives: 136 False positives: 596 False negatives: 1864 True negatives: 11404 ['poi', 'deferral_payments', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.86086 Precision: 0.52471 Recall: 0.27600 F1: 0.36173 F2: 0.30490 Total predictions: 14000 True positives: 552 False positives: 500 False negatives: 1448 True negatives: 11500 ['poi', 'deferral_payments', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85213 Precision: 0.38550 Recall: 0.18350 F1: 0.24864 F2: 0.20498 Total predictions: 15000 True positives: 367 False positives: 585 False negatives: 1633 True negatives: 12415 ['poi', 'deferral_payments', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferral_payments', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84214 Precision: 0.38636 Recall: 0.17850 F1: 0.24419 F2: 0.20002 Total predictions: 14000 True positives: 357 False positives: 567 False negatives: 1643 True negatives: 11433 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred'] Accuracy: 0.30675 Precision: 0.19382 Recall: 1.00000 F1: 0.32470 F2: 0.54588 Total predictions: 12000 True positives: 2000 False positives: 8319 False negatives: 0 True negatives: 1681 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi'] Accuracy: 0.83000 Precision: 0.42045 Recall: 0.27750 F1: 0.33434 F2: 0.29775 Total predictions: 13000 True positives: 555 False positives: 765 False negatives: 1445 True negatives: 10235 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_messages'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_messages'] Accuracy: 0.83923 Precision: 0.46318 Recall: 0.28300 F1: 0.35133 F2: 0.30687 Total predictions: 13000 True positives: 566 False positives: 656 False negatives: 1434 True negatives: 10344 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'other'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'other'] Accuracy: 0.83400 Precision: 0.50433 Recall: 0.23300 F1: 0.31874 F2: 0.26109 Total predictions: 12000 True positives: 466 False positives: 458 False negatives: 1534 True negatives: 9542 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'director_fees'] Accuracy: 0.30192 Precision: 0.19273 Recall: 1.00000 F1: 0.32318 F2: 0.54416 Total predictions: 12000 True positives: 2000 False positives: 8377 False negatives: 0 True negatives: 1623 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'resto_dirfees'] Accuracy: 0.20067 Precision: 0.17253 Recall: 1.00000 F1: 0.29429 F2: 0.51041 Total predictions: 12000 True positives: 2000 False positives: 9592 False negatives: 0 True negatives: 408 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'bonus'] Accuracy: 0.85050 Precision: 0.58541 Recall: 0.35300 F1: 0.44042 F2: 0.38345 Total predictions: 12000 True positives: 706 False positives: 500 False negatives: 1294 True negatives: 9500 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'total_stock_value'] Accuracy: 0.86357 Precision: 0.53016 Recall: 0.39550 F1: 0.45304 F2: 0.41667 Total predictions: 14000 True positives: 791 False positives: 701 False negatives: 1209 True negatives: 11299 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person'] Accuracy: 0.84131 Precision: 0.47234 Recall: 0.26900 F1: 0.34278 F2: 0.29434 Total predictions: 13000 True positives: 538 False positives: 601 False negatives: 1462 True negatives: 10399 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi'] Accuracy: 0.83038 Precision: 0.41465 Recall: 0.24900 F1: 0.31115 F2: 0.27062 Total predictions: 13000 True positives: 498 False positives: 703 False negatives: 1502 True negatives: 10297 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'restricted_stock'] Accuracy: 0.85193 Precision: 0.47376 Recall: 0.32950 F1: 0.38868 F2: 0.35087 Total predictions: 14000 True positives: 659 False positives: 732 False negatives: 1341 True negatives: 11268 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'salary'] Accuracy: 0.84742 Precision: 0.57191 Recall: 0.33600 F1: 0.42331 F2: 0.36621 Total predictions: 12000 True positives: 672 False positives: 503 False negatives: 1328 True negatives: 9497 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'total_payments'] Accuracy: 0.83354 Precision: 0.41126 Recall: 0.19000 F1: 0.25992 F2: 0.21291 Total predictions: 13000 True positives: 380 False positives: 544 False negatives: 1620 True negatives: 10456 ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'long_term_incentive', 'exercised_stock_options'] Accuracy: 0.86607 Precision: 0.54374 Recall: 0.38850 F1: 0.45319 F2: 0.41203 Total predictions: 14000 True positives: 777 False positives: 652 False negatives: 1223 True negatives: 11348 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.28462 Precision: 0.17699 Recall: 1.00000 F1: 0.30075 F2: 0.51813 Total predictions: 13000 True positives: 2000 False positives: 9300 False negatives: 0 True negatives: 1700 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.30500 Precision: 0.17428 Recall: 0.94100 F1: 0.29409 F2: 0.50056 Total predictions: 13000 True positives: 1882 False positives: 8917 False negatives: 118 True negatives: 2083 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'other'] Accuracy: 0.29675 Precision: 0.18476 Recall: 0.94350 F1: 0.30901 F2: 0.51804 Total predictions: 12000 True positives: 1887 False positives: 8326 False negatives: 113 True negatives: 1674 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.42133 Precision: 0.22361 Recall: 1.00000 F1: 0.36550 F2: 0.59018 Total predictions: 12000 True positives: 2000 False positives: 6944 False negatives: 0 True negatives: 3056 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.32175 Precision: 0.19726 Recall: 1.00000 F1: 0.32952 F2: 0.55130 Total predictions: 12000 True positives: 2000 False positives: 8139 False negatives: 0 True negatives: 1861 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31258 Precision: 0.19514 Recall: 1.00000 F1: 0.32656 F2: 0.54798 Total predictions: 12000 True positives: 2000 False positives: 8249 False negatives: 0 True negatives: 1751 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26179 Precision: 0.16214 Recall: 1.00000 F1: 0.27904 F2: 0.49176 Total predictions: 14000 True positives: 2000 False positives: 10335 False negatives: 0 True negatives: 1665 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.28738 Precision: 0.17756 Recall: 1.00000 F1: 0.30157 F2: 0.51910 Total predictions: 13000 True positives: 2000 False positives: 9264 False negatives: 0 True negatives: 1736 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.28877 Precision: 0.17290 Recall: 0.95750 F1: 0.29290 F2: 0.50194 Total predictions: 13000 True positives: 1915 False positives: 9161 False negatives: 85 True negatives: 1839 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.27614 Precision: 0.16438 Recall: 0.99600 F1: 0.28219 F2: 0.49508 Total predictions: 14000 True positives: 1992 False positives: 10126 False negatives: 8 True negatives: 1874 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'salary'] Accuracy: 0.30267 Precision: 0.19195 Recall: 0.99200 F1: 0.32166 F2: 0.54101 Total predictions: 12000 True positives: 1984 False positives: 8352 False negatives: 16 True negatives: 1648 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27715 Precision: 0.16975 Recall: 0.95050 F1: 0.28805 F2: 0.49508 Total predictions: 13000 True positives: 1901 False positives: 9298 False negatives: 99 True negatives: 1702 ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26614 Precision: 0.16295 Recall: 1.00000 F1: 0.28023 F2: 0.49324 Total predictions: 14000 True positives: 2000 False positives: 10274 False negatives: 0 True negatives: 1726 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.82554 Precision: 0.37796 Recall: 0.20750 F1: 0.26791 F2: 0.22807 Total predictions: 13000 True positives: 415 False positives: 683 False negatives: 1585 True negatives: 10317 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'other'] Accuracy: 0.83346 Precision: 0.40550 Recall: 0.17700 F1: 0.24643 F2: 0.19948 Total predictions: 13000 True positives: 354 False positives: 519 False negatives: 1646 True negatives: 10481 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.18685 Precision: 0.15910 Recall: 1.00000 F1: 0.27452 F2: 0.48612 Total predictions: 13000 True positives: 2000 False positives: 10571 False negatives: 0 True negatives: 429 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.84308 Precision: 0.48428 Recall: 0.30800 F1: 0.37653 F2: 0.33218 Total predictions: 13000 True positives: 616 False positives: 656 False negatives: 1384 True negatives: 10344 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84907 Precision: 0.46246 Recall: 0.34800 F1: 0.39715 F2: 0.36612 Total predictions: 14000 True positives: 696 False positives: 809 False negatives: 1304 True negatives: 11191 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.80454 Precision: 0.26580 Recall: 0.15350 F1: 0.19461 F2: 0.16767 Total predictions: 13000 True positives: 307 False positives: 848 False negatives: 1693 True negatives: 10152 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.80969 Precision: 0.27933 Recall: 0.15000 F1: 0.19519 F2: 0.16531 Total predictions: 13000 True positives: 300 False positives: 774 False negatives: 1700 True negatives: 10226 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.83236 Precision: 0.37773 Recall: 0.26800 F1: 0.31354 F2: 0.28453 Total predictions: 14000 True positives: 536 False positives: 883 False negatives: 1464 True negatives: 11117 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83862 Precision: 0.46465 Recall: 0.32200 F1: 0.38039 F2: 0.34306 Total predictions: 13000 True positives: 644 False positives: 742 False negatives: 1356 True negatives: 10258 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.84550 Precision: 0.40812 Recall: 0.18100 F1: 0.25078 F2: 0.20367 Total predictions: 14000 True positives: 362 False positives: 525 False negatives: 1638 True negatives: 11475 ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.85657 Precision: 0.49710 Recall: 0.34300 F1: 0.40592 F2: 0.36567 Total predictions: 14000 True positives: 686 False positives: 694 False negatives: 1314 True negatives: 11306 ['poi', 'expenses', 'deferred_income', 'from_messages', 'other'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'other'] Accuracy: 0.84169 Precision: 0.46820 Recall: 0.21350 F1: 0.29327 F2: 0.23956 Total predictions: 13000 True positives: 427 False positives: 485 False negatives: 1573 True negatives: 10515 ['poi', 'expenses', 'deferred_income', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'director_fees'] Accuracy: 0.30169 Precision: 0.17376 Recall: 0.94250 F1: 0.29343 F2: 0.50005 Total predictions: 13000 True positives: 1885 False positives: 8963 False negatives: 115 True negatives: 2037 ['poi', 'expenses', 'deferred_income', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'resto_dirfees'] Accuracy: 0.21092 Precision: 0.15683 Recall: 0.94350 F1: 0.26896 F2: 0.47100 Total predictions: 13000 True positives: 1887 False positives: 10145 False negatives: 113 True negatives: 855 ['poi', 'expenses', 'deferred_income', 'from_messages', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'bonus'] Accuracy: 0.85115 Precision: 0.52666 Recall: 0.32100 F1: 0.39888 F2: 0.34819 Total predictions: 13000 True positives: 642 False positives: 577 False negatives: 1358 True negatives: 10423 ['poi', 'expenses', 'deferred_income', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'total_stock_value'] Accuracy: 0.87421 Precision: 0.58628 Recall: 0.40600 F1: 0.47976 F2: 0.43261 Total predictions: 14000 True positives: 812 False positives: 573 False negatives: 1188 True negatives: 11427 ['poi', 'expenses', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.82454 Precision: 0.37308 Recall: 0.20650 F1: 0.26585 F2: 0.22675 Total predictions: 13000 True positives: 413 False positives: 694 False negatives: 1587 True negatives: 10306 ['poi', 'expenses', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.79508 Precision: 0.29430 Recall: 0.23750 F1: 0.26287 F2: 0.24704 Total predictions: 13000 True positives: 475 False positives: 1139 False negatives: 1525 True negatives: 9861 ['poi', 'expenses', 'deferred_income', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'restricted_stock'] Accuracy: 0.85629 Precision: 0.49532 Recall: 0.31750 F1: 0.38696 F2: 0.34206 Total predictions: 14000 True positives: 635 False positives: 647 False negatives: 1365 True negatives: 11353 ['poi', 'expenses', 'deferred_income', 'from_messages', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'salary'] Accuracy: 0.85346 Precision: 0.53968 Recall: 0.32300 F1: 0.40413 F2: 0.35120 Total predictions: 13000 True positives: 646 False positives: 551 False negatives: 1354 True negatives: 10449 ['poi', 'expenses', 'deferred_income', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'total_payments'] Accuracy: 0.85450 Precision: 0.47696 Recall: 0.19150 F1: 0.27328 F2: 0.21754 Total predictions: 14000 True positives: 383 False positives: 420 False negatives: 1617 True negatives: 11580 ['poi', 'expenses', 'deferred_income', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_messages', 'exercised_stock_options'] Accuracy: 0.87007 Precision: 0.56432 Recall: 0.39700 F1: 0.46610 F2: 0.42203 Total predictions: 14000 True positives: 794 False positives: 613 False negatives: 1206 True negatives: 11387 ['poi', 'expenses', 'deferred_income', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'director_fees'] Accuracy: 0.29267 Precision: 0.18252 Recall: 0.93250 F1: 0.30529 F2: 0.51186 Total predictions: 12000 True positives: 1865 False positives: 8353 False negatives: 135 True negatives: 1647 ['poi', 'expenses', 'deferred_income', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'resto_dirfees'] Accuracy: 0.19567 Precision: 0.16450 Recall: 0.93800 F1: 0.27992 F2: 0.48341 Total predictions: 12000 True positives: 1876 False positives: 9528 False negatives: 124 True negatives: 472 ['poi', 'expenses', 'deferred_income', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'bonus'] Accuracy: 0.83308 Precision: 0.49836 Recall: 0.22850 F1: 0.31334 F2: 0.25625 Total predictions: 12000 True positives: 457 False positives: 460 False negatives: 1543 True negatives: 9540 ['poi', 'expenses', 'deferred_income', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'total_stock_value'] Accuracy: 0.86753 Precision: 0.50577 Recall: 0.28500 F1: 0.36457 F2: 0.31226 Total predictions: 15000 True positives: 570 False positives: 557 False negatives: 1430 True negatives: 12443 ['poi', 'expenses', 'deferred_income', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'from_poi_to_this_person'] Accuracy: 0.83508 Precision: 0.41388 Recall: 0.17300 F1: 0.24401 F2: 0.19579 Total predictions: 13000 True positives: 346 False positives: 490 False negatives: 1654 True negatives: 10510 ['poi', 'expenses', 'deferred_income', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'from_this_person_to_poi'] Accuracy: 0.82392 Precision: 0.35088 Recall: 0.17000 F1: 0.22903 F2: 0.18954 Total predictions: 13000 True positives: 340 False positives: 629 False negatives: 1660 True negatives: 10371 ['poi', 'expenses', 'deferred_income', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'restricted_stock'] Accuracy: 0.84871 Precision: 0.44402 Recall: 0.23400 F1: 0.30648 F2: 0.25845 Total predictions: 14000 True positives: 468 False positives: 586 False negatives: 1532 True negatives: 11414 ['poi', 'expenses', 'deferred_income', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'salary'] Accuracy: 0.83892 Precision: 0.54012 Recall: 0.22550 F1: 0.31817 F2: 0.25523 Total predictions: 12000 True positives: 451 False positives: 384 False negatives: 1549 True negatives: 9616 ['poi', 'expenses', 'deferred_income', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'total_payments'] Accuracy: 0.82769 Precision: 0.35612 Recall: 0.14850 F1: 0.20960 F2: 0.16810 Total predictions: 13000 True positives: 297 False positives: 537 False negatives: 1703 True negatives: 10463 ['poi', 'expenses', 'deferred_income', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'other', 'exercised_stock_options'] Accuracy: 0.86057 Precision: 0.52162 Recall: 0.28950 F1: 0.37235 F2: 0.31778 Total predictions: 14000 True positives: 579 False positives: 531 False negatives: 1421 True negatives: 11469 ['poi', 'expenses', 'deferred_income', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'resto_dirfees'] Accuracy: 0.33191 Precision: 0.21393 Recall: 1.00000 F1: 0.35245 F2: 0.57640 Total predictions: 11000 True positives: 2000 False positives: 7349 False negatives: 0 True negatives: 1651 ['poi', 'expenses', 'deferred_income', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'bonus'] Accuracy: 0.30575 Precision: 0.19359 Recall: 1.00000 F1: 0.32439 F2: 0.54552 Total predictions: 12000 True positives: 2000 False positives: 8331 False negatives: 0 True negatives: 1669 ['poi', 'expenses', 'deferred_income', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'total_stock_value'] Accuracy: 0.42827 Precision: 0.18739 Recall: 0.98550 F1: 0.31491 F2: 0.53218 Total predictions: 15000 True positives: 1971 False positives: 8547 False negatives: 29 True negatives: 4453 ['poi', 'expenses', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30108 Precision: 0.19255 Recall: 1.00000 F1: 0.32292 F2: 0.54386 Total predictions: 12000 True positives: 2000 False positives: 8387 False negatives: 0 True negatives: 1613 ['poi', 'expenses', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29750 Precision: 0.18530 Recall: 0.94650 F1: 0.30992 F2: 0.51960 Total predictions: 12000 True positives: 1893 False positives: 8323 False negatives: 107 True negatives: 1677 ['poi', 'expenses', 'deferred_income', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'restricted_stock'] Accuracy: 0.25950 Precision: 0.16046 Recall: 0.98850 F1: 0.27610 F2: 0.48644 Total predictions: 14000 True positives: 1977 False positives: 10344 False negatives: 23 True negatives: 1656 ['poi', 'expenses', 'deferred_income', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'salary'] Accuracy: 0.29800 Precision: 0.19092 Recall: 0.99200 F1: 0.32021 F2: 0.53936 Total predictions: 12000 True positives: 1984 False positives: 8408 False negatives: 16 True negatives: 1592 ['poi', 'expenses', 'deferred_income', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'total_payments'] Accuracy: 0.58454 Precision: 0.20056 Recall: 0.56950 F1: 0.29665 F2: 0.41633 Total predictions: 13000 True positives: 1139 False positives: 4540 False negatives: 861 True negatives: 6460 ['poi', 'expenses', 'deferred_income', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'director_fees', 'exercised_stock_options'] Accuracy: 0.32064 Precision: 0.17295 Recall: 0.99300 F1: 0.29459 F2: 0.50968 Total predictions: 14000 True positives: 1986 False positives: 9497 False negatives: 14 True negatives: 2503 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'bonus'] Accuracy: 0.20342 Precision: 0.17303 Recall: 1.00000 F1: 0.29501 F2: 0.51127 Total predictions: 12000 True positives: 2000 False positives: 9559 False negatives: 0 True negatives: 441 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21629 Precision: 0.14920 Recall: 0.95400 F1: 0.25805 F2: 0.45892 Total predictions: 14000 True positives: 1908 False positives: 10880 False negatives: 92 True negatives: 1120 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19900 Precision: 0.17224 Recall: 1.00000 F1: 0.29386 F2: 0.50989 Total predictions: 12000 True positives: 2000 False positives: 9612 False negatives: 0 True negatives: 388 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19708 Precision: 0.16633 Recall: 0.95150 F1: 0.28316 F2: 0.48943 Total predictions: 12000 True positives: 1903 False positives: 9538 False negatives: 97 True negatives: 462 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17400 Precision: 0.14693 Recall: 0.99500 F1: 0.25605 F2: 0.46185 Total predictions: 14000 True positives: 1990 False positives: 11554 False negatives: 10 True negatives: 446 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'salary'] Accuracy: 0.20175 Precision: 0.17182 Recall: 0.99200 F1: 0.29291 F2: 0.50749 Total predictions: 12000 True positives: 1984 False positives: 9563 False negatives: 16 True negatives: 437 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'total_payments'] Accuracy: 0.23423 Precision: 0.15301 Recall: 0.87700 F1: 0.26057 F2: 0.45060 Total predictions: 13000 True positives: 1754 False positives: 9709 False negatives: 246 True negatives: 1291 ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21679 Precision: 0.14972 Recall: 0.95800 F1: 0.25897 F2: 0.46064 Total predictions: 14000 True positives: 1916 False positives: 10881 False negatives: 84 True negatives: 1119 ['poi', 'expenses', 'deferred_income', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'total_stock_value'] Accuracy: 0.85586 Precision: 0.49372 Recall: 0.35400 F1: 0.41235 F2: 0.37524 Total predictions: 14000 True positives: 708 False positives: 726 False negatives: 1292 True negatives: 11274 ['poi', 'expenses', 'deferred_income', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.84492 Precision: 0.56971 Recall: 0.28400 F1: 0.37905 F2: 0.31566 Total predictions: 12000 True positives: 568 False positives: 429 False negatives: 1432 True negatives: 9571 ['poi', 'expenses', 'deferred_income', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.83458 Precision: 0.50669 Recall: 0.28400 F1: 0.36399 F2: 0.31137 Total predictions: 12000 True positives: 568 False positives: 553 False negatives: 1432 True negatives: 9447 ['poi', 'expenses', 'deferred_income', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'restricted_stock'] Accuracy: 0.84786 Precision: 0.44841 Recall: 0.28250 F1: 0.34663 F2: 0.30508 Total predictions: 14000 True positives: 565 False positives: 695 False negatives: 1435 True negatives: 11305 ['poi', 'expenses', 'deferred_income', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'salary'] Accuracy: 0.83892 Precision: 0.52861 Recall: 0.30950 F1: 0.39041 F2: 0.33748 Total predictions: 12000 True positives: 619 False positives: 552 False negatives: 1381 True negatives: 9448 ['poi', 'expenses', 'deferred_income', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'total_payments'] Accuracy: 0.84638 Precision: 0.50178 Recall: 0.21100 F1: 0.29708 F2: 0.23866 Total predictions: 13000 True positives: 422 False positives: 419 False negatives: 1578 True negatives: 10581 ['poi', 'expenses', 'deferred_income', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'bonus', 'exercised_stock_options'] Accuracy: 0.86021 Precision: 0.51606 Recall: 0.34550 F1: 0.41390 F2: 0.36995 Total predictions: 14000 True positives: 691 False positives: 648 False negatives: 1309 True negatives: 11352 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86329 Precision: 0.53176 Recall: 0.36000 F1: 0.42934 F2: 0.38486 Total predictions: 14000 True positives: 720 False positives: 634 False negatives: 1280 True negatives: 11366 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86700 Precision: 0.55357 Recall: 0.35650 F1: 0.43370 F2: 0.38383 Total predictions: 14000 True positives: 713 False positives: 575 False negatives: 1287 True negatives: 11425 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'restricted_stock'] Accuracy: 0.87264 Precision: 0.57879 Recall: 0.39850 F1: 0.47202 F2: 0.42498 Total predictions: 14000 True positives: 797 False positives: 580 False negatives: 1203 True negatives: 11420 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'salary'] Accuracy: 0.86650 Precision: 0.55097 Recall: 0.35400 F1: 0.43105 F2: 0.38126 Total predictions: 14000 True positives: 708 False positives: 577 False negatives: 1292 True negatives: 11423 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'total_payments'] Accuracy: 0.85547 Precision: 0.43778 Recall: 0.29550 F1: 0.35284 F2: 0.31604 Total predictions: 15000 True positives: 591 False positives: 759 False negatives: 1409 True negatives: 12241 ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.86643 Precision: 0.54539 Recall: 0.39050 F1: 0.45513 F2: 0.41402 Total predictions: 14000 True positives: 781 False positives: 651 False negatives: 1219 True negatives: 11349 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.81658 Precision: 0.39064 Recall: 0.17950 F1: 0.24597 F2: 0.20126 Total predictions: 12000 True positives: 359 False positives: 560 False negatives: 1641 True negatives: 9440 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84307 Precision: 0.41560 Recall: 0.24250 F1: 0.30628 F2: 0.26454 Total predictions: 14000 True positives: 485 False positives: 682 False negatives: 1515 True negatives: 11318 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85254 Precision: 0.53444 Recall: 0.32200 F1: 0.40187 F2: 0.34981 Total predictions: 13000 True positives: 644 False positives: 561 False negatives: 1356 True negatives: 10439 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85321 Precision: 0.46461 Recall: 0.18050 F1: 0.25999 F2: 0.20565 Total predictions: 14000 True positives: 361 False positives: 416 False negatives: 1639 True negatives: 11584 ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86957 Precision: 0.56872 Recall: 0.36000 F1: 0.44091 F2: 0.38852 Total predictions: 14000 True positives: 720 False positives: 546 False negatives: 1280 True negatives: 11454 ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.82262 Precision: 0.38249 Recall: 0.24900 F1: 0.30164 F2: 0.26768 Total predictions: 13000 True positives: 498 False positives: 804 False negatives: 1502 True negatives: 10196 ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'salary'] Accuracy: 0.84146 Precision: 0.47593 Recall: 0.30150 F1: 0.36915 F2: 0.32535 Total predictions: 13000 True positives: 603 False positives: 664 False negatives: 1397 True negatives: 10336 ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84821 Precision: 0.42293 Recall: 0.17150 F1: 0.24404 F2: 0.19464 Total predictions: 14000 True positives: 343 False positives: 468 False negatives: 1657 True negatives: 11532 ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86886 Precision: 0.56592 Recall: 0.35200 F1: 0.43403 F2: 0.38079 Total predictions: 14000 True positives: 704 False positives: 540 False negatives: 1296 True negatives: 11460 ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'salary'] Accuracy: 0.85486 Precision: 0.48830 Recall: 0.33400 F1: 0.39667 F2: 0.35653 Total predictions: 14000 True positives: 668 False positives: 700 False negatives: 1332 True negatives: 11300 ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'total_payments'] Accuracy: 0.83629 Precision: 0.37934 Recall: 0.22950 F1: 0.28598 F2: 0.24919 Total predictions: 14000 True positives: 459 False positives: 751 False negatives: 1541 True negatives: 11249 ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.87186 Precision: 0.57421 Recall: 0.39850 F1: 0.47048 F2: 0.42448 Total predictions: 14000 True positives: 797 False positives: 591 False negatives: 1203 True negatives: 11409 ['poi', 'expenses', 'deferred_income', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'salary', 'total_payments'] Accuracy: 0.84508 Precision: 0.49173 Recall: 0.20800 F1: 0.29234 F2: 0.23513 Total predictions: 13000 True positives: 416 False positives: 430 False negatives: 1584 True negatives: 10570 ['poi', 'expenses', 'deferred_income', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'salary', 'exercised_stock_options'] Accuracy: 0.86864 Precision: 0.56497 Recall: 0.35000 F1: 0.43223 F2: 0.37883 Total predictions: 14000 True positives: 700 False positives: 539 False negatives: 1300 True negatives: 11461 ['poi', 'expenses', 'deferred_income', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'deferred_income', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85036 Precision: 0.46110 Recall: 0.28150 F1: 0.34958 F2: 0.30528 Total predictions: 14000 True positives: 563 False positives: 658 False negatives: 1437 True negatives: 11342 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.27236 Precision: 0.16411 Recall: 1.00000 F1: 0.28195 F2: 0.49537 Total predictions: 14000 True positives: 2000 False positives: 10187 False negatives: 0 True negatives: 1813 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.28821 Precision: 0.16103 Recall: 0.94600 F1: 0.27522 F2: 0.47901 Total predictions: 14000 True positives: 1892 False positives: 9857 False negatives: 108 True negatives: 2143 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.30325 Precision: 0.18482 Recall: 0.93250 F1: 0.30849 F2: 0.51545 Total predictions: 12000 True positives: 1865 False positives: 8226 False negatives: 135 True negatives: 1774 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.40250 Precision: 0.21810 Recall: 1.00000 F1: 0.35810 F2: 0.58241 Total predictions: 12000 True positives: 2000 False positives: 7170 False negatives: 0 True negatives: 2830 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.31508 Precision: 0.19571 Recall: 1.00000 F1: 0.32736 F2: 0.54888 Total predictions: 12000 True positives: 2000 False positives: 8219 False negatives: 0 True negatives: 1781 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.31200 Precision: 0.19501 Recall: 1.00000 F1: 0.32637 F2: 0.54777 Total predictions: 12000 True positives: 2000 False positives: 8256 False negatives: 0 True negatives: 1744 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26636 Precision: 0.16299 Recall: 1.00000 F1: 0.28029 F2: 0.49332 Total predictions: 14000 True positives: 2000 False positives: 10271 False negatives: 0 True negatives: 1729 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.28408 Precision: 0.17688 Recall: 1.00000 F1: 0.30059 F2: 0.51795 Total predictions: 13000 True positives: 2000 False positives: 9307 False negatives: 0 True negatives: 1693 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.28008 Precision: 0.16979 Recall: 0.94600 F1: 0.28791 F2: 0.49418 Total predictions: 13000 True positives: 1892 False positives: 9251 False negatives: 108 True negatives: 1749 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.27236 Precision: 0.16378 Recall: 0.99700 F1: 0.28134 F2: 0.49418 Total predictions: 14000 True positives: 1994 False positives: 10181 False negatives: 6 True negatives: 1819 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.31067 Precision: 0.19381 Recall: 0.99250 F1: 0.32429 F2: 0.54407 Total predictions: 12000 True positives: 1985 False positives: 8257 False negatives: 15 True negatives: 1743 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27800 Precision: 0.17050 Recall: 0.95550 F1: 0.28937 F2: 0.49745 Total predictions: 13000 True positives: 1911 False positives: 9297 False negatives: 89 True negatives: 1703 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.26700 Precision: 0.16311 Recall: 1.00000 F1: 0.28047 F2: 0.49353 Total predictions: 14000 True positives: 2000 False positives: 10262 False negatives: 0 True negatives: 1738 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.78300 Precision: 0.25839 Recall: 0.21950 F1: 0.23736 F2: 0.22631 Total predictions: 13000 True positives: 439 False positives: 1260 False negatives: 1561 True negatives: 9740 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.79854 Precision: 0.06954 Recall: 0.02500 F1: 0.03678 F2: 0.02867 Total predictions: 13000 True positives: 50 False positives: 669 False negatives: 1950 True negatives: 10331 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.26079 Precision: 0.16196 Recall: 1.00000 F1: 0.27877 F2: 0.49142 Total predictions: 14000 True positives: 2000 False positives: 10349 False negatives: 0 True negatives: 1651 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.18346 Precision: 0.15843 Recall: 0.99900 F1: 0.27349 F2: 0.48469 Total predictions: 13000 True positives: 1998 False positives: 10613 False negatives: 2 True negatives: 387 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.81777 Precision: 0.36887 Recall: 0.25950 F1: 0.30467 F2: 0.27586 Total predictions: 13000 True positives: 519 False positives: 888 False negatives: 1481 True negatives: 10112 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.83243 Precision: 0.36973 Recall: 0.24550 F1: 0.29507 F2: 0.26319 Total predictions: 14000 True positives: 491 False positives: 837 False negatives: 1509 True negatives: 11163 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.80238 Precision: 0.25495 Recall: 0.14800 F1: 0.18728 F2: 0.16155 Total predictions: 13000 True positives: 296 False positives: 865 False negatives: 1704 True negatives: 10135 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.78815 Precision: 0.16696 Recall: 0.09450 F1: 0.12069 F2: 0.10348 Total predictions: 13000 True positives: 189 False positives: 943 False negatives: 1811 True negatives: 10057 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.81393 Precision: 0.23395 Recall: 0.13300 F1: 0.16959 F2: 0.14556 Total predictions: 14000 True positives: 266 False positives: 871 False negatives: 1734 True negatives: 11129 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.80969 Precision: 0.28257 Recall: 0.15400 F1: 0.19935 F2: 0.16942 Total predictions: 13000 True positives: 308 False positives: 782 False negatives: 1692 True negatives: 10218 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.82393 Precision: 0.17391 Recall: 0.06200 F1: 0.09141 F2: 0.07116 Total predictions: 14000 True positives: 124 False positives: 589 False negatives: 1876 True negatives: 11411 ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.83379 Precision: 0.37452 Recall: 0.24400 F1: 0.29549 F2: 0.26228 Total predictions: 14000 True positives: 488 False positives: 815 False negatives: 1512 True negatives: 11185 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.80400 Precision: 0.15404 Recall: 0.06100 F1: 0.08739 F2: 0.06938 Total predictions: 13000 True positives: 122 False positives: 670 False negatives: 1878 True negatives: 10330 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.28000 Precision: 0.15947 Recall: 0.94600 F1: 0.27294 F2: 0.47624 Total predictions: 14000 True positives: 1892 False positives: 9972 False negatives: 108 True negatives: 2028 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.20462 Precision: 0.15566 Recall: 0.94250 F1: 0.26719 F2: 0.46867 Total predictions: 13000 True positives: 1885 False positives: 10225 False negatives: 115 True negatives: 775 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.82069 Precision: 0.39076 Recall: 0.29600 F1: 0.33684 F2: 0.31109 Total predictions: 13000 True positives: 592 False positives: 923 False negatives: 1408 True negatives: 10077 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.84886 Precision: 0.45397 Recall: 0.28600 F1: 0.35092 F2: 0.30886 Total predictions: 14000 True positives: 572 False positives: 688 False negatives: 1428 True negatives: 11312 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.80546 Precision: 0.34247 Recall: 0.28750 F1: 0.31258 F2: 0.29703 Total predictions: 13000 True positives: 575 False positives: 1104 False negatives: 1425 True negatives: 9896 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.75354 Precision: 0.18482 Recall: 0.17650 F1: 0.18056 F2: 0.17810 Total predictions: 13000 True positives: 353 False positives: 1557 False negatives: 1647 True negatives: 9443 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.83407 Precision: 0.37028 Recall: 0.23050 F1: 0.28413 F2: 0.24932 Total predictions: 14000 True positives: 461 False positives: 784 False negatives: 1539 True negatives: 11216 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.81577 Precision: 0.35636 Recall: 0.24500 F1: 0.29037 F2: 0.26133 Total predictions: 13000 True positives: 490 False positives: 885 False negatives: 1510 True negatives: 10115 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.82943 Precision: 0.21217 Recall: 0.07150 F1: 0.10696 F2: 0.08243 Total predictions: 14000 True positives: 143 False positives: 531 False negatives: 1857 True negatives: 11469 ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84714 Precision: 0.45007 Recall: 0.31550 F1: 0.37096 F2: 0.33557 Total predictions: 14000 True positives: 631 False positives: 771 False negatives: 1369 True negatives: 11229 ['poi', 'expenses', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.29333 Precision: 0.18328 Recall: 0.93750 F1: 0.30662 F2: 0.51426 Total predictions: 12000 True positives: 1875 False positives: 8355 False negatives: 125 True negatives: 1645 ['poi', 'expenses', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.19875 Precision: 0.16580 Recall: 0.94450 F1: 0.28209 F2: 0.48703 Total predictions: 12000 True positives: 1889 False positives: 9504 False negatives: 111 True negatives: 496 ['poi', 'expenses', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.79409 Precision: 0.34017 Recall: 0.14100 F1: 0.19936 F2: 0.15970 Total predictions: 11000 True positives: 282 False positives: 547 False negatives: 1718 True negatives: 8453 ['poi', 'expenses', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.84457 Precision: 0.40476 Recall: 0.18700 F1: 0.25581 F2: 0.20955 Total predictions: 14000 True positives: 374 False positives: 550 False negatives: 1626 True negatives: 11450 ['poi', 'expenses', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.79767 Precision: 0.07874 Recall: 0.02000 F1: 0.03190 F2: 0.02351 Total predictions: 12000 True positives: 40 False positives: 468 False negatives: 1960 True negatives: 9532 ['poi', 'expenses', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.78283 Precision: 0.06340 Recall: 0.02200 F1: 0.03267 F2: 0.02530 Total predictions: 12000 True positives: 44 False positives: 650 False negatives: 1956 True negatives: 9350 ['poi', 'expenses', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.82500 Precision: 0.19758 Recall: 0.07350 F1: 0.10714 F2: 0.08406 Total predictions: 14000 True positives: 147 False positives: 597 False negatives: 1853 True negatives: 11403 ['poi', 'expenses', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.79836 Precision: 0.28794 Recall: 0.07400 F1: 0.11774 F2: 0.08692 Total predictions: 11000 True positives: 148 False positives: 366 False negatives: 1852 True negatives: 8634 ['poi', 'expenses', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.80962 Precision: 0.09814 Recall: 0.02900 F1: 0.04477 F2: 0.03376 Total predictions: 13000 True positives: 58 False positives: 533 False negatives: 1942 True negatives: 10467 ['poi', 'expenses', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.84171 Precision: 0.38655 Recall: 0.18400 F1: 0.24932 F2: 0.20554 Total predictions: 14000 True positives: 368 False positives: 584 False negatives: 1632 True negatives: 11416 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.30175 Precision: 0.19270 Recall: 1.00000 F1: 0.32313 F2: 0.54410 Total predictions: 12000 True positives: 2000 False positives: 8379 False negatives: 0 True negatives: 1621 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.30008 Precision: 0.19233 Recall: 1.00000 F1: 0.32261 F2: 0.54351 Total predictions: 12000 True positives: 2000 False positives: 8399 False negatives: 0 True negatives: 1601 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.30780 Precision: 0.16085 Recall: 0.99400 F1: 0.27690 F2: 0.48824 Total predictions: 15000 True positives: 1988 False positives: 10371 False negatives: 12 True negatives: 2629 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.28338 Precision: 0.17674 Recall: 1.00000 F1: 0.30039 F2: 0.51771 Total predictions: 13000 True positives: 2000 False positives: 9316 False negatives: 0 True negatives: 1684 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.27738 Precision: 0.16831 Recall: 0.93800 F1: 0.28541 F2: 0.48992 Total predictions: 13000 True positives: 1876 False positives: 9270 False negatives: 124 True negatives: 1730 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.25736 Precision: 0.16056 Recall: 0.99300 F1: 0.27643 F2: 0.48751 Total predictions: 14000 True positives: 1986 False positives: 10383 False negatives: 14 True negatives: 1617 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.29842 Precision: 0.19101 Recall: 0.99200 F1: 0.32034 F2: 0.53951 Total predictions: 12000 True positives: 1984 False positives: 8403 False negatives: 16 True negatives: 1597 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.49485 Precision: 0.19671 Recall: 0.74050 F1: 0.31084 F2: 0.47685 Total predictions: 13000 True positives: 1481 False positives: 6048 False negatives: 519 True negatives: 4952 ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.27214 Precision: 0.16407 Recall: 1.00000 F1: 0.28189 F2: 0.49529 Total predictions: 14000 True positives: 2000 False positives: 10190 False negatives: 0 True negatives: 1810 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.20575 Precision: 0.17345 Recall: 1.00000 F1: 0.29562 F2: 0.51201 Total predictions: 12000 True positives: 2000 False positives: 9531 False negatives: 0 True negatives: 469 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21221 Precision: 0.14881 Recall: 0.95650 F1: 0.25756 F2: 0.45864 Total predictions: 14000 True positives: 1913 False positives: 10942 False negatives: 87 True negatives: 1058 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19858 Precision: 0.17216 Recall: 1.00000 F1: 0.29375 F2: 0.50976 Total predictions: 12000 True positives: 2000 False positives: 9617 False negatives: 0 True negatives: 383 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19425 Precision: 0.16520 Recall: 0.94600 F1: 0.28128 F2: 0.48630 Total predictions: 12000 True positives: 1892 False positives: 9561 False negatives: 108 True negatives: 439 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17143 Precision: 0.14675 Recall: 0.99700 F1: 0.25584 F2: 0.46183 Total predictions: 14000 True positives: 1994 False positives: 11594 False negatives: 6 True negatives: 406 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.20442 Precision: 0.17252 Recall: 0.99400 F1: 0.29402 F2: 0.50914 Total predictions: 12000 True positives: 1988 False positives: 9535 False negatives: 12 True negatives: 465 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.22685 Precision: 0.15210 Recall: 0.88000 F1: 0.25938 F2: 0.44964 Total predictions: 13000 True positives: 1760 False positives: 9811 False negatives: 240 True negatives: 1189 ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21136 Precision: 0.14971 Recall: 0.96600 F1: 0.25924 F2: 0.46209 Total predictions: 14000 True positives: 1932 False positives: 10973 False negatives: 68 True negatives: 1027 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.84693 Precision: 0.45052 Recall: 0.32550 F1: 0.37794 F2: 0.34463 Total predictions: 14000 True positives: 651 False positives: 794 False negatives: 1349 True negatives: 11206 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.82008 Precision: 0.42740 Recall: 0.23400 F1: 0.30242 F2: 0.25728 Total predictions: 12000 True positives: 468 False positives: 627 False negatives: 1532 True negatives: 9373 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.81075 Precision: 0.36959 Recall: 0.19200 F1: 0.25271 F2: 0.21241 Total predictions: 12000 True positives: 384 False positives: 655 False negatives: 1616 True negatives: 9345 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.82300 Precision: 0.37634 Recall: 0.22900 F1: 0.28474 F2: 0.24845 Total predictions: 13000 True positives: 458 False positives: 759 False negatives: 1542 True negatives: 10241 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.80409 Precision: 0.42498 Recall: 0.21950 F1: 0.28948 F2: 0.24300 Total predictions: 11000 True positives: 439 False positives: 594 False negatives: 1561 True negatives: 8406 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.82192 Precision: 0.31959 Recall: 0.13950 F1: 0.19422 F2: 0.15722 Total predictions: 13000 True positives: 279 False positives: 594 False negatives: 1721 True negatives: 10406 ['poi', 'expenses', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.85157 Precision: 0.47103 Recall: 0.31700 F1: 0.37896 F2: 0.33918 Total predictions: 14000 True positives: 634 False positives: 712 False negatives: 1366 True negatives: 11288 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84900 Precision: 0.45218 Recall: 0.26950 F1: 0.33772 F2: 0.29319 Total predictions: 14000 True positives: 539 False positives: 653 False negatives: 1461 True negatives: 11347 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84793 Precision: 0.44566 Recall: 0.26450 F1: 0.33197 F2: 0.28791 Total predictions: 14000 True positives: 529 False positives: 658 False negatives: 1471 True negatives: 11342 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85693 Precision: 0.49866 Recall: 0.27900 F1: 0.35781 F2: 0.30595 Total predictions: 14000 True positives: 558 False positives: 561 False negatives: 1442 True negatives: 11439 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.84407 Precision: 0.42050 Recall: 0.24200 F1: 0.30720 F2: 0.26445 Total predictions: 14000 True positives: 484 False positives: 667 False negatives: 1516 True negatives: 11333 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.84267 Precision: 0.33425 Recall: 0.18150 F1: 0.23526 F2: 0.19976 Total predictions: 15000 True positives: 363 False positives: 723 False negatives: 1637 True negatives: 12277 ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84707 Precision: 0.44606 Recall: 0.29150 F1: 0.35259 F2: 0.31321 Total predictions: 14000 True positives: 583 False positives: 724 False negatives: 1417 True negatives: 11276 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79800 Precision: 0.21505 Recall: 0.08000 F1: 0.11662 F2: 0.09149 Total predictions: 12000 True positives: 160 False positives: 584 False negatives: 1840 True negatives: 9416 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82936 Precision: 0.27566 Recall: 0.11950 F1: 0.16672 F2: 0.13477 Total predictions: 14000 True positives: 239 False positives: 628 False negatives: 1761 True negatives: 11372 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80867 Precision: 0.32212 Recall: 0.13400 F1: 0.18927 F2: 0.15172 Total predictions: 12000 True positives: 268 False positives: 564 False negatives: 1732 True negatives: 9436 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82615 Precision: 0.24104 Recall: 0.06050 F1: 0.09672 F2: 0.07116 Total predictions: 13000 True positives: 121 False positives: 381 False negatives: 1879 True negatives: 10619 ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84764 Precision: 0.44272 Recall: 0.25700 F1: 0.32521 F2: 0.28054 Total predictions: 14000 True positives: 514 False positives: 647 False negatives: 1486 True negatives: 11353 ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80800 Precision: 0.23504 Recall: 0.11000 F1: 0.14986 F2: 0.12310 Total predictions: 13000 True positives: 220 False positives: 716 False negatives: 1780 True negatives: 10284 ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80492 Precision: 0.31284 Recall: 0.14250 F1: 0.19581 F2: 0.15991 Total predictions: 12000 True positives: 285 False positives: 626 False negatives: 1715 True negatives: 9374 ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82692 Precision: 0.26145 Recall: 0.06850 F1: 0.10856 F2: 0.08036 Total predictions: 13000 True positives: 137 False positives: 387 False negatives: 1863 True negatives: 10613 ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84779 Precision: 0.44259 Recall: 0.25250 F1: 0.32155 F2: 0.27623 Total predictions: 14000 True positives: 505 False positives: 636 False negatives: 1495 True negatives: 11364 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.82554 Precision: 0.34309 Recall: 0.14650 F1: 0.20533 F2: 0.16546 Total predictions: 13000 True positives: 293 False positives: 561 False negatives: 1707 True negatives: 10439 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82314 Precision: 0.18848 Recall: 0.07200 F1: 0.10420 F2: 0.08215 Total predictions: 14000 True positives: 144 False positives: 620 False negatives: 1856 True negatives: 11380 ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84814 Precision: 0.44944 Recall: 0.28000 F1: 0.34504 F2: 0.30283 Total predictions: 14000 True positives: 560 False positives: 686 False negatives: 1440 True negatives: 11314 ['poi', 'expenses', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.82215 Precision: 0.23737 Recall: 0.07050 F1: 0.10871 F2: 0.08203 Total predictions: 13000 True positives: 141 False positives: 453 False negatives: 1859 True negatives: 10547 ['poi', 'expenses', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.85257 Precision: 0.46958 Recall: 0.24700 F1: 0.32372 F2: 0.27287 Total predictions: 14000 True positives: 494 False positives: 558 False negatives: 1506 True negatives: 11442 ['poi', 'expenses', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84264 Precision: 0.39027 Recall: 0.18050 F1: 0.24684 F2: 0.20224 Total predictions: 14000 True positives: 361 False positives: 564 False negatives: 1639 True negatives: 11436 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.29977 Precision: 0.17337 Recall: 0.94250 F1: 0.29286 F2: 0.49939 Total predictions: 13000 True positives: 1885 False positives: 8988 False negatives: 115 True negatives: 2012 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.26279 Precision: 0.15675 Recall: 0.95000 F1: 0.26910 F2: 0.47214 Total predictions: 14000 True positives: 1900 False positives: 10221 False negatives: 100 True negatives: 1779 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.36229 Precision: 0.18302 Recall: 1.00000 F1: 0.30941 F2: 0.52832 Total predictions: 14000 True positives: 2000 False positives: 8928 False negatives: 0 True negatives: 3072 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.28077 Precision: 0.17621 Recall: 1.00000 F1: 0.29963 F2: 0.51680 Total predictions: 13000 True positives: 2000 False positives: 9350 False negatives: 0 True negatives: 1650 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.28285 Precision: 0.17663 Recall: 1.00000 F1: 0.30023 F2: 0.51752 Total predictions: 13000 True positives: 2000 False positives: 9323 False negatives: 0 True negatives: 1677 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26464 Precision: 0.16267 Recall: 1.00000 F1: 0.27982 F2: 0.49273 Total predictions: 14000 True positives: 2000 False positives: 10295 False negatives: 0 True negatives: 1705 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.28085 Precision: 0.17623 Recall: 1.00000 F1: 0.29965 F2: 0.51682 Total predictions: 13000 True positives: 2000 False positives: 9349 False negatives: 0 True negatives: 1651 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.27523 Precision: 0.16866 Recall: 0.94450 F1: 0.28621 F2: 0.49193 Total predictions: 13000 True positives: 1889 False positives: 9311 False negatives: 111 True negatives: 1689 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.27336 Precision: 0.16386 Recall: 0.99600 F1: 0.28142 F2: 0.49412 Total predictions: 14000 True positives: 1992 False positives: 10165 False negatives: 8 True negatives: 1835 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.27171 Precision: 0.16355 Recall: 0.99600 F1: 0.28096 F2: 0.49356 Total predictions: 14000 True positives: 1992 False positives: 10188 False negatives: 8 True negatives: 1812 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.25171 Precision: 0.15398 Recall: 0.94300 F1: 0.26474 F2: 0.46573 Total predictions: 14000 True positives: 1886 False positives: 10362 False negatives: 114 True negatives: 1638 ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.26457 Precision: 0.16265 Recall: 1.00000 F1: 0.27980 F2: 0.49271 Total predictions: 14000 True positives: 2000 False positives: 10296 False negatives: 0 True negatives: 1704 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.28193 Precision: 0.15357 Recall: 0.89250 F1: 0.26206 F2: 0.45482 Total predictions: 14000 True positives: 1785 False positives: 9838 False negatives: 215 True negatives: 2162 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.37557 Precision: 0.17975 Recall: 0.94600 F1: 0.30209 F2: 0.51063 Total predictions: 14000 True positives: 1892 False positives: 8634 False negatives: 108 True negatives: 3366 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.29377 Precision: 0.17213 Recall: 0.94250 F1: 0.29110 F2: 0.49734 Total predictions: 13000 True positives: 1885 False positives: 9066 False negatives: 115 True negatives: 1934 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.30269 Precision: 0.17487 Recall: 0.95000 F1: 0.29538 F2: 0.50358 Total predictions: 13000 True positives: 1900 False positives: 8965 False negatives: 100 True negatives: 2035 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.28236 Precision: 0.15980 Recall: 0.94500 F1: 0.27338 F2: 0.47662 Total predictions: 14000 True positives: 1890 False positives: 9937 False negatives: 110 True negatives: 2063 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.29977 Precision: 0.17337 Recall: 0.94250 F1: 0.29286 F2: 0.49939 Total predictions: 13000 True positives: 1885 False positives: 8988 False negatives: 115 True negatives: 2012 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.29346 Precision: 0.17207 Recall: 0.94250 F1: 0.29101 F2: 0.49723 Total predictions: 13000 True positives: 1885 False positives: 9070 False negatives: 115 True negatives: 1930 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.29036 Precision: 0.16104 Recall: 0.94250 F1: 0.27508 F2: 0.47830 Total predictions: 14000 True positives: 1885 False positives: 9820 False negatives: 115 True negatives: 2180 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.28764 Precision: 0.16046 Recall: 0.94200 F1: 0.27422 F2: 0.47718 Total predictions: 14000 True positives: 1884 False positives: 9857 False negatives: 116 True negatives: 2143 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26786 Precision: 0.15019 Recall: 0.88550 F1: 0.25682 F2: 0.44740 Total predictions: 14000 True positives: 1771 False positives: 10021 False negatives: 229 True negatives: 1979 ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.28236 Precision: 0.15980 Recall: 0.94500 F1: 0.27338 F2: 0.47662 Total predictions: 14000 True positives: 1890 False positives: 9937 False negatives: 110 True negatives: 2063 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.39117 Precision: 0.20808 Recall: 0.94550 F1: 0.34109 F2: 0.55331 Total predictions: 12000 True positives: 1891 False positives: 7197 False negatives: 109 True negatives: 2803 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.30125 Precision: 0.18562 Recall: 0.94250 F1: 0.31016 F2: 0.51914 Total predictions: 12000 True positives: 1885 False positives: 8270 False negatives: 115 True negatives: 1730 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.30508 Precision: 0.18522 Recall: 0.93250 F1: 0.30906 F2: 0.51608 Total predictions: 12000 True positives: 1865 False positives: 8204 False negatives: 135 True negatives: 1796 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.25579 Precision: 0.15408 Recall: 0.93750 F1: 0.26466 F2: 0.46482 Total predictions: 14000 True positives: 1875 False positives: 10294 False negatives: 125 True negatives: 1706 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.27954 Precision: 0.16796 Recall: 0.93150 F1: 0.28460 F2: 0.48790 Total predictions: 13000 True positives: 1863 False positives: 9229 False negatives: 137 True negatives: 1771 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.27915 Precision: 0.16197 Recall: 0.88300 F1: 0.27373 F2: 0.46712 Total predictions: 13000 True positives: 1766 False positives: 9137 False negatives: 234 True negatives: 1863 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.26721 Precision: 0.15716 Recall: 0.94650 F1: 0.26956 F2: 0.47219 Total predictions: 14000 True positives: 1893 False positives: 10152 False negatives: 107 True negatives: 1848 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.30425 Precision: 0.18454 Recall: 0.92850 F1: 0.30788 F2: 0.51403 Total predictions: 12000 True positives: 1857 False positives: 8206 False negatives: 143 True negatives: 1794 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.28123 Precision: 0.17014 Recall: 0.94700 F1: 0.28846 F2: 0.49498 Total predictions: 13000 True positives: 1894 False positives: 9238 False negatives: 106 True negatives: 1762 ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.26171 Precision: 0.15645 Recall: 0.94900 F1: 0.26861 F2: 0.47139 Total predictions: 14000 True positives: 1898 False positives: 10234 False negatives: 102 True negatives: 1766 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.44100 Precision: 0.24543 Recall: 1.00000 F1: 0.39413 F2: 0.61923 Total predictions: 11000 True positives: 2000 False positives: 6149 False negatives: 0 True negatives: 2851 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.40692 Precision: 0.21937 Recall: 1.00000 F1: 0.35981 F2: 0.58421 Total predictions: 12000 True positives: 2000 False positives: 7117 False negatives: 0 True negatives: 2883 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.34120 Precision: 0.16832 Recall: 1.00000 F1: 0.28814 F2: 0.50297 Total predictions: 15000 True positives: 2000 False positives: 9882 False negatives: 0 True negatives: 3118 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.38362 Precision: 0.19974 Recall: 1.00000 F1: 0.33297 F2: 0.55515 Total predictions: 13000 True positives: 2000 False positives: 8013 False negatives: 0 True negatives: 2987 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.38554 Precision: 0.19505 Recall: 0.95750 F1: 0.32408 F2: 0.53738 Total predictions: 13000 True positives: 1915 False positives: 7903 False negatives: 85 True negatives: 3097 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.35486 Precision: 0.18060 Recall: 0.99400 F1: 0.30566 F2: 0.52294 Total predictions: 14000 True positives: 1988 False positives: 9020 False negatives: 12 True negatives: 2980 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.39775 Precision: 0.21639 Recall: 0.99700 F1: 0.35560 F2: 0.57915 Total predictions: 12000 True positives: 1994 False positives: 7221 False negatives: 6 True negatives: 2779 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36338 Precision: 0.18863 Recall: 0.95050 F1: 0.31479 F2: 0.52578 Total predictions: 13000 True positives: 1901 False positives: 8177 False negatives: 99 True negatives: 2823 ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.35814 Precision: 0.18205 Recall: 1.00000 F1: 0.30802 F2: 0.52670 Total predictions: 14000 True positives: 2000 False positives: 8986 False negatives: 0 True negatives: 3014 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.31283 Precision: 0.19520 Recall: 1.00000 F1: 0.32664 F2: 0.54807 Total predictions: 12000 True positives: 2000 False positives: 8246 False negatives: 0 True negatives: 1754 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26000 Precision: 0.16181 Recall: 1.00000 F1: 0.27855 F2: 0.49116 Total predictions: 14000 True positives: 2000 False positives: 10360 False negatives: 0 True negatives: 1640 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.30458 Precision: 0.19333 Recall: 1.00000 F1: 0.32402 F2: 0.54511 Total predictions: 12000 True positives: 2000 False positives: 8345 False negatives: 0 True negatives: 1655 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.30300 Precision: 0.18539 Recall: 0.93750 F1: 0.30956 F2: 0.51756 Total predictions: 12000 True positives: 1875 False positives: 8239 False negatives: 125 True negatives: 1761 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.28138 Precision: 0.17616 Recall: 0.99850 F1: 0.29949 F2: 0.51639 Total predictions: 13000 True positives: 1997 False positives: 9339 False negatives: 3 True negatives: 1661 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.30967 Precision: 0.19448 Recall: 1.00000 F1: 0.32563 F2: 0.54693 Total predictions: 12000 True positives: 2000 False positives: 8284 False negatives: 0 True negatives: 1716 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.26471 Precision: 0.16268 Recall: 1.00000 F1: 0.27984 F2: 0.49276 Total predictions: 14000 True positives: 2000 False positives: 10294 False negatives: 0 True negatives: 1706 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.28831 Precision: 0.17775 Recall: 1.00000 F1: 0.30184 F2: 0.51943 Total predictions: 13000 True positives: 2000 False positives: 9252 False negatives: 0 True negatives: 1748 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.29500 Precision: 0.18432 Recall: 0.94300 F1: 0.30837 F2: 0.51722 Total predictions: 12000 True positives: 1886 False positives: 8346 False negatives: 114 True negatives: 1654 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.28500 Precision: 0.17678 Recall: 0.99750 F1: 0.30034 F2: 0.51724 Total predictions: 13000 True positives: 1995 False positives: 9290 False negatives: 5 True negatives: 1710 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.30908 Precision: 0.19393 Recall: 0.99650 F1: 0.32467 F2: 0.54522 Total predictions: 12000 True positives: 1993 False positives: 8284 False negatives: 7 True negatives: 1716 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.27838 Precision: 0.17058 Recall: 0.95550 F1: 0.28948 F2: 0.49758 Total predictions: 13000 True positives: 1911 False positives: 9292 False negatives: 89 True negatives: 1708 ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.26550 Precision: 0.16283 Recall: 1.00000 F1: 0.28005 F2: 0.49302 Total predictions: 14000 True positives: 2000 False positives: 10283 False negatives: 0 True negatives: 1717 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.26014 Precision: 0.16184 Recall: 1.00000 F1: 0.27859 F2: 0.49121 Total predictions: 14000 True positives: 2000 False positives: 10358 False negatives: 0 True negatives: 1642 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.26643 Precision: 0.16300 Recall: 1.00000 F1: 0.28031 F2: 0.49334 Total predictions: 14000 True positives: 2000 False positives: 10270 False negatives: 0 True negatives: 1730 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.27707 Precision: 0.14949 Recall: 0.94300 F1: 0.25807 F2: 0.45741 Total predictions: 15000 True positives: 1886 False positives: 10730 False negatives: 114 True negatives: 2270 ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.26064 Precision: 0.16193 Recall: 1.00000 F1: 0.27873 F2: 0.49138 Total predictions: 14000 True positives: 2000 False positives: 10351 False negatives: 0 True negatives: 1649 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.29433 Precision: 0.18418 Recall: 0.94300 F1: 0.30817 F2: 0.51700 Total predictions: 12000 True positives: 1886 False positives: 8354 False negatives: 114 True negatives: 1646 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.28485 Precision: 0.17647 Recall: 0.99500 F1: 0.29977 F2: 0.51616 Total predictions: 13000 True positives: 1990 False positives: 9287 False negatives: 10 True negatives: 1713 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28669 Precision: 0.17684 Recall: 0.99500 F1: 0.30031 F2: 0.51680 Total predictions: 13000 True positives: 1990 False positives: 9263 False negatives: 10 True negatives: 1737 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26357 Precision: 0.15712 Recall: 0.95200 F1: 0.26973 F2: 0.47321 Total predictions: 14000 True positives: 1904 False positives: 10214 False negatives: 96 True negatives: 1786 ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26479 Precision: 0.16269 Recall: 1.00000 F1: 0.27986 F2: 0.49278 Total predictions: 14000 True positives: 2000 False positives: 10293 False negatives: 0 True negatives: 1707 ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.27308 Precision: 0.16806 Recall: 0.94300 F1: 0.28528 F2: 0.49058 Total predictions: 13000 True positives: 1886 False positives: 9336 False negatives: 114 True negatives: 1664 ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28462 Precision: 0.16974 Recall: 0.93800 F1: 0.28747 F2: 0.49234 Total predictions: 13000 True positives: 1876 False positives: 9176 False negatives: 124 True negatives: 1824 ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26079 Precision: 0.15560 Recall: 0.94300 F1: 0.26712 F2: 0.46866 Total predictions: 14000 True positives: 1886 False positives: 10235 False negatives: 114 True negatives: 1765 ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.26600 Precision: 0.16292 Recall: 1.00000 F1: 0.28019 F2: 0.49319 Total predictions: 14000 True positives: 2000 False positives: 10276 False negatives: 0 True negatives: 1724 ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.28462 Precision: 0.17584 Recall: 0.99000 F1: 0.29864 F2: 0.51402 Total predictions: 13000 True positives: 1980 False positives: 9280 False negatives: 20 True negatives: 1720 ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.25529 Precision: 0.15416 Recall: 0.93900 F1: 0.26484 F2: 0.46527 Total predictions: 14000 True positives: 1878 False positives: 10304 False negatives: 122 True negatives: 1696 ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26029 Precision: 0.16186 Recall: 1.00000 F1: 0.27863 F2: 0.49126 Total predictions: 14000 True positives: 2000 False positives: 10356 False negatives: 0 True negatives: 1644 ['poi', 'expenses', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.27769 Precision: 0.17027 Recall: 0.95400 F1: 0.28896 F2: 0.49672 Total predictions: 13000 True positives: 1908 False positives: 9298 False negatives: 92 True negatives: 1702 ['poi', 'expenses', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.26700 Precision: 0.16311 Recall: 1.00000 F1: 0.28047 F2: 0.49353 Total predictions: 14000 True positives: 2000 False positives: 10262 False negatives: 0 True negatives: 1738 ['poi', 'expenses', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.27864 Precision: 0.15818 Recall: 0.93700 F1: 0.27067 F2: 0.47211 Total predictions: 14000 True positives: 1874 False positives: 9973 False negatives: 126 True negatives: 2027 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.79231 Precision: 0.07627 Recall: 0.03150 F1: 0.04459 F2: 0.03569 Total predictions: 13000 True positives: 63 False positives: 763 False negatives: 1937 True negatives: 10237 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.29977 Precision: 0.17337 Recall: 0.94250 F1: 0.29286 F2: 0.49939 Total predictions: 13000 True positives: 1885 False positives: 8988 False negatives: 115 True negatives: 2012 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.20608 Precision: 0.15499 Recall: 0.93450 F1: 0.26588 F2: 0.46588 Total predictions: 13000 True positives: 1869 False positives: 10190 False negatives: 131 True negatives: 810 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.80615 Precision: 0.29845 Recall: 0.19250 F1: 0.23404 F2: 0.20721 Total predictions: 13000 True positives: 385 False positives: 905 False negatives: 1615 True negatives: 10095 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.85771 Precision: 0.50355 Recall: 0.28400 F1: 0.36317 F2: 0.31113 Total predictions: 14000 True positives: 568 False positives: 560 False negatives: 1432 True negatives: 11440 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.75500 Precision: 0.19079 Recall: 0.14500 F1: 0.16477 F2: 0.15231 Total predictions: 12000 True positives: 290 False positives: 1230 False negatives: 1710 True negatives: 8770 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.72950 Precision: 0.07329 Recall: 0.05350 F1: 0.06185 F2: 0.05655 Total predictions: 12000 True positives: 107 False positives: 1353 False negatives: 1893 True negatives: 8647 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.81385 Precision: 0.25694 Recall: 0.11100 F1: 0.15503 F2: 0.12523 Total predictions: 13000 True positives: 222 False positives: 642 False negatives: 1778 True negatives: 10358 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.79492 Precision: 0.23232 Recall: 0.14450 F1: 0.17818 F2: 0.15632 Total predictions: 13000 True positives: 289 False positives: 955 False negatives: 1711 True negatives: 10045 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.82364 Precision: 0.15464 Recall: 0.05250 F1: 0.07839 F2: 0.06049 Total predictions: 14000 True positives: 105 False positives: 574 False negatives: 1895 True negatives: 11426 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.84914 Precision: 0.45462 Recall: 0.28050 F1: 0.34694 F2: 0.30377 Total predictions: 14000 True positives: 561 False positives: 673 False negatives: 1439 True negatives: 11327 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.25807 Precision: 0.15585 Recall: 0.94950 F1: 0.26775 F2: 0.47040 Total predictions: 14000 True positives: 1899 False positives: 10286 False negatives: 101 True negatives: 1714 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.17685 Precision: 0.15065 Recall: 0.93800 F1: 0.25960 F2: 0.45861 Total predictions: 13000 True positives: 1876 False positives: 10577 False negatives: 124 True negatives: 423 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.81208 Precision: 0.26002 Recall: 0.12000 F1: 0.16421 F2: 0.13448 Total predictions: 13000 True positives: 240 False positives: 683 False negatives: 1760 True negatives: 10317 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.84093 Precision: 0.38040 Recall: 0.18050 F1: 0.24483 F2: 0.20170 Total predictions: 14000 True positives: 361 False positives: 588 False negatives: 1639 True negatives: 11412 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.79215 Precision: 0.01250 Recall: 0.00450 F1: 0.00662 F2: 0.00516 Total predictions: 13000 True positives: 9 False positives: 711 False negatives: 1991 True negatives: 10289 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.79415 Precision: 0.00872 Recall: 0.00300 F1: 0.00446 F2: 0.00345 Total predictions: 13000 True positives: 6 False positives: 682 False negatives: 1994 True negatives: 10318 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.80714 Precision: 0.11454 Recall: 0.05200 F1: 0.07153 F2: 0.05837 Total predictions: 14000 True positives: 104 False positives: 804 False negatives: 1896 True negatives: 11196 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.80377 Precision: 0.13893 Recall: 0.05300 F1: 0.07673 F2: 0.06048 Total predictions: 13000 True positives: 106 False positives: 657 False negatives: 1894 True negatives: 10343 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.81986 Precision: 0.03559 Recall: 0.01000 F1: 0.01561 F2: 0.01168 Total predictions: 14000 True positives: 20 False positives: 542 False negatives: 1980 True negatives: 11458 ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.83771 Precision: 0.36066 Recall: 0.17600 F1: 0.23656 F2: 0.19608 Total predictions: 14000 True positives: 352 False positives: 624 False negatives: 1648 True negatives: 11376 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.26527 Precision: 0.15194 Recall: 0.98450 F1: 0.26325 F2: 0.46973 Total predictions: 15000 True positives: 1969 False positives: 10990 False negatives: 31 True negatives: 2010 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27862 Precision: 0.17578 Recall: 1.00000 F1: 0.29900 F2: 0.51605 Total predictions: 13000 True positives: 2000 False positives: 9378 False negatives: 0 True negatives: 1622 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.27523 Precision: 0.16842 Recall: 0.94250 F1: 0.28578 F2: 0.49109 Total predictions: 13000 True positives: 1885 False positives: 9307 False negatives: 115 True negatives: 1693 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.26379 Precision: 0.16207 Recall: 0.99600 F1: 0.27878 F2: 0.49086 Total predictions: 14000 True positives: 1992 False positives: 10299 False negatives: 8 True negatives: 1701 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.26021 Precision: 0.16141 Recall: 0.99600 F1: 0.27780 F2: 0.48965 Total predictions: 14000 True positives: 1992 False positives: 10349 False negatives: 8 True negatives: 1651 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.52421 Precision: 0.20843 Recall: 0.83300 F1: 0.33343 F2: 0.52085 Total predictions: 14000 True positives: 1666 False positives: 6327 False negatives: 334 True negatives: 5673 ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25871 Precision: 0.15949 Recall: 0.98100 F1: 0.27437 F2: 0.48320 Total predictions: 14000 True positives: 1962 False positives: 10340 False negatives: 38 True negatives: 1660 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.18600 Precision: 0.15896 Recall: 1.00000 F1: 0.27431 F2: 0.48586 Total predictions: 13000 True positives: 2000 False positives: 10582 False negatives: 0 True negatives: 418 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21214 Precision: 0.15097 Recall: 0.97650 F1: 0.26152 F2: 0.46642 Total predictions: 14000 True positives: 1953 False positives: 10983 False negatives: 47 True negatives: 1017 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.18608 Precision: 0.15897 Recall: 1.00000 F1: 0.27433 F2: 0.48589 Total predictions: 13000 True positives: 2000 False positives: 10581 False negatives: 0 True negatives: 419 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.17931 Precision: 0.15115 Recall: 0.93900 F1: 0.26038 F2: 0.45973 Total predictions: 13000 True positives: 1878 False positives: 10547 False negatives: 122 True negatives: 453 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17243 Precision: 0.14638 Recall: 0.99200 F1: 0.25511 F2: 0.46024 Total predictions: 14000 True positives: 1984 False positives: 11570 False negatives: 16 True negatives: 430 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.18315 Precision: 0.15817 Recall: 0.99700 F1: 0.27302 F2: 0.48382 Total predictions: 13000 True positives: 1994 False positives: 10613 False negatives: 6 True negatives: 387 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22214 Precision: 0.13967 Recall: 0.86150 F1: 0.24037 F2: 0.42363 Total predictions: 14000 True positives: 1723 False positives: 10613 False negatives: 277 True negatives: 1387 ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20543 Precision: 0.15026 Recall: 0.98000 F1: 0.26057 F2: 0.46569 Total predictions: 14000 True positives: 1960 False positives: 11084 False negatives: 40 True negatives: 916 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.83900 Precision: 0.41656 Recall: 0.31700 F1: 0.36002 F2: 0.33291 Total predictions: 14000 True positives: 634 False positives: 888 False negatives: 1366 True negatives: 11112 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.82200 Precision: 0.37339 Recall: 0.23150 F1: 0.28580 F2: 0.25054 Total predictions: 13000 True positives: 463 False positives: 777 False negatives: 1537 True negatives: 10223 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.81169 Precision: 0.30589 Recall: 0.17650 F1: 0.22384 F2: 0.19281 Total predictions: 13000 True positives: 353 False positives: 801 False negatives: 1647 True negatives: 10199 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.81529 Precision: 0.28799 Recall: 0.19900 F1: 0.23536 F2: 0.21211 Total predictions: 14000 True positives: 398 False positives: 984 False negatives: 1602 True negatives: 11016 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.81477 Precision: 0.34911 Recall: 0.23600 F1: 0.28162 F2: 0.25235 Total predictions: 13000 True positives: 472 False positives: 880 False negatives: 1528 True negatives: 10120 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.82343 Precision: 0.26065 Recall: 0.12850 F1: 0.17214 F2: 0.14300 Total predictions: 14000 True positives: 257 False positives: 729 False negatives: 1743 True negatives: 11271 ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.84064 Precision: 0.41883 Recall: 0.29800 F1: 0.34823 F2: 0.31625 Total predictions: 14000 True positives: 596 False positives: 827 False negatives: 1404 True negatives: 11173 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84529 Precision: 0.43306 Recall: 0.26850 F1: 0.33148 F2: 0.29058 Total predictions: 14000 True positives: 537 False positives: 703 False negatives: 1463 True negatives: 11297 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84443 Precision: 0.42681 Recall: 0.25950 F1: 0.32276 F2: 0.28158 Total predictions: 14000 True positives: 519 False positives: 697 False negatives: 1481 True negatives: 11303 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84879 Precision: 0.45105 Recall: 0.26950 F1: 0.33740 F2: 0.29309 Total predictions: 14000 True positives: 539 False positives: 656 False negatives: 1461 True negatives: 11344 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.83579 Precision: 0.37776 Recall: 0.23100 F1: 0.28669 F2: 0.25046 Total predictions: 14000 True positives: 462 False positives: 761 False negatives: 1538 True negatives: 11239 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.84520 Precision: 0.34339 Recall: 0.17650 F1: 0.23316 F2: 0.19550 Total predictions: 15000 True positives: 353 False positives: 675 False negatives: 1647 True negatives: 12325 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84479 Precision: 0.43382 Recall: 0.28350 F1: 0.34291 F2: 0.30461 Total predictions: 14000 True positives: 567 False positives: 740 False negatives: 1433 True negatives: 11260 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77242 Precision: 0.03558 Recall: 0.01400 F1: 0.02009 F2: 0.01593 Total predictions: 12000 True positives: 28 False positives: 759 False negatives: 1972 True negatives: 9241 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80246 Precision: 0.18791 Recall: 0.08550 F1: 0.11753 F2: 0.09596 Total predictions: 13000 True positives: 171 False positives: 739 False negatives: 1829 True negatives: 10261 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80123 Precision: 0.22761 Recall: 0.12200 F1: 0.15885 F2: 0.13448 Total predictions: 13000 True positives: 244 False positives: 828 False negatives: 1756 True negatives: 10172 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82400 Precision: 0.08719 Recall: 0.02450 F1: 0.03825 F2: 0.02861 Total predictions: 14000 True positives: 49 False positives: 513 False negatives: 1951 True negatives: 11487 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84557 Precision: 0.43372 Recall: 0.26500 F1: 0.32899 F2: 0.28736 Total predictions: 14000 True positives: 530 False positives: 692 False negatives: 1470 True negatives: 11308 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79800 Precision: 0.16560 Recall: 0.07750 F1: 0.10559 F2: 0.08673 Total predictions: 13000 True positives: 155 False positives: 781 False negatives: 1845 True negatives: 10219 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79646 Precision: 0.21005 Recall: 0.11700 F1: 0.15029 F2: 0.12837 Total predictions: 13000 True positives: 234 False positives: 880 False negatives: 1766 True negatives: 10120 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82393 Precision: 0.07957 Recall: 0.02200 F1: 0.03447 F2: 0.02572 Total predictions: 14000 True positives: 44 False positives: 509 False negatives: 1956 True negatives: 11491 ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84314 Precision: 0.41980 Recall: 0.25650 F1: 0.31844 F2: 0.27814 Total predictions: 14000 True positives: 513 False positives: 709 False negatives: 1487 True negatives: 11291 ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.81414 Precision: 0.21550 Recall: 0.11400 F1: 0.14912 F2: 0.12586 Total predictions: 14000 True positives: 228 False positives: 830 False negatives: 1772 True negatives: 11170 ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81893 Precision: 0.17097 Recall: 0.06950 F1: 0.09883 F2: 0.07886 Total predictions: 14000 True positives: 139 False positives: 674 False negatives: 1861 True negatives: 11326 ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83921 Precision: 0.40557 Recall: 0.26950 F1: 0.32382 F2: 0.28888 Total predictions: 14000 True positives: 539 False positives: 790 False negatives: 1461 True negatives: 11210 ['poi', 'expenses', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82579 Precision: 0.16692 Recall: 0.05500 F1: 0.08274 F2: 0.06352 Total predictions: 14000 True positives: 110 False positives: 549 False negatives: 1890 True negatives: 11451 ['poi', 'expenses', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83871 Precision: 0.39049 Recall: 0.23000 F1: 0.28949 F2: 0.25060 Total predictions: 14000 True positives: 460 False positives: 718 False negatives: 1540 True negatives: 11282 ['poi', 'expenses', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85347 Precision: 0.39121 Recall: 0.17800 F1: 0.24467 F2: 0.19978 Total predictions: 15000 True positives: 356 False positives: 554 False negatives: 1644 True negatives: 12446 ['poi', 'expenses', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'director_fees'] Accuracy: 0.28114 Precision: 0.15343 Recall: 0.89250 F1: 0.26185 F2: 0.45457 Total predictions: 14000 True positives: 1785 False positives: 9849 False negatives: 215 True negatives: 2151 ['poi', 'expenses', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.20000 Precision: 0.14777 Recall: 0.88100 F1: 0.25309 F2: 0.44218 Total predictions: 13000 True positives: 1762 False positives: 10162 False negatives: 238 True negatives: 838 ['poi', 'expenses', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'bonus'] Accuracy: 0.80846 Precision: 0.23936 Recall: 0.11250 F1: 0.15306 F2: 0.12584 Total predictions: 13000 True positives: 225 False positives: 715 False negatives: 1775 True negatives: 10285 ['poi', 'expenses', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.85114 Precision: 0.45723 Recall: 0.22450 F1: 0.30114 F2: 0.24994 Total predictions: 14000 True positives: 449 False positives: 533 False negatives: 1551 True negatives: 11467 ['poi', 'expenses', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.79223 Precision: 0.06675 Recall: 0.02700 F1: 0.03845 F2: 0.03065 Total predictions: 13000 True positives: 54 False positives: 755 False negatives: 1946 True negatives: 10245 ['poi', 'expenses', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.77838 Precision: 0.09023 Recall: 0.04850 F1: 0.06309 F2: 0.05344 Total predictions: 13000 True positives: 97 False positives: 978 False negatives: 1903 True negatives: 10022 ['poi', 'expenses', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.81450 Precision: 0.15886 Recall: 0.06950 F1: 0.09670 F2: 0.07831 Total predictions: 14000 True positives: 139 False positives: 736 False negatives: 1861 True negatives: 11264 ['poi', 'expenses', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'salary'] Accuracy: 0.80654 Precision: 0.18249 Recall: 0.07400 F1: 0.10530 F2: 0.08399 Total predictions: 13000 True positives: 148 False positives: 663 False negatives: 1852 True negatives: 10337 ['poi', 'expenses', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'total_payments'] Accuracy: 0.81300 Precision: 0.04956 Recall: 0.01700 F1: 0.02532 F2: 0.01957 Total predictions: 14000 True positives: 34 False positives: 652 False negatives: 1966 True negatives: 11348 ['poi', 'expenses', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.84536 Precision: 0.42195 Recall: 0.22300 F1: 0.29179 F2: 0.24622 Total predictions: 14000 True positives: 446 False positives: 611 False negatives: 1554 True negatives: 11389 ['poi', 'expenses', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.29377 Precision: 0.17213 Recall: 0.94250 F1: 0.29110 F2: 0.49734 Total predictions: 13000 True positives: 1885 False positives: 9066 False negatives: 115 True negatives: 1934 ['poi', 'expenses', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.30123 Precision: 0.17457 Recall: 0.95000 F1: 0.29494 F2: 0.50307 Total predictions: 13000 True positives: 1900 False positives: 8984 False negatives: 100 True negatives: 2016 ['poi', 'expenses', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.29187 Precision: 0.15234 Recall: 0.94450 F1: 0.26236 F2: 0.46299 Total predictions: 15000 True positives: 1889 False positives: 10511 False negatives: 111 True negatives: 2489 ['poi', 'expenses', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29985 Precision: 0.17338 Recall: 0.94250 F1: 0.29288 F2: 0.49942 Total predictions: 13000 True positives: 1885 False positives: 8987 False negatives: 115 True negatives: 2013 ['poi', 'expenses', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29246 Precision: 0.17186 Recall: 0.94250 F1: 0.29072 F2: 0.49689 Total predictions: 13000 True positives: 1885 False positives: 9083 False negatives: 115 True negatives: 1917 ['poi', 'expenses', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.28614 Precision: 0.16012 Recall: 0.94150 F1: 0.27369 F2: 0.47647 Total predictions: 14000 True positives: 1883 False positives: 9877 False negatives: 117 True negatives: 2123 ['poi', 'expenses', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.27879 Precision: 0.15879 Recall: 0.94200 F1: 0.27176 F2: 0.47420 Total predictions: 14000 True positives: 1884 False positives: 9981 False negatives: 116 True negatives: 2019 ['poi', 'expenses', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.31386 Precision: 0.16039 Recall: 0.89800 F1: 0.27216 F2: 0.46776 Total predictions: 14000 True positives: 1796 False positives: 9402 False negatives: 204 True negatives: 2598 ['poi', 'expenses', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30050 Precision: 0.16319 Recall: 0.94400 F1: 0.27828 F2: 0.48240 Total predictions: 14000 True positives: 1888 False positives: 9681 False negatives: 112 True negatives: 2319 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.21100 Precision: 0.15559 Recall: 0.93250 F1: 0.26668 F2: 0.46655 Total predictions: 13000 True positives: 1865 False positives: 10122 False negatives: 135 True negatives: 878 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20100 Precision: 0.14560 Recall: 0.94350 F1: 0.25227 F2: 0.45014 Total predictions: 14000 True positives: 1887 False positives: 11073 False negatives: 113 True negatives: 927 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.20608 Precision: 0.15499 Recall: 0.93450 F1: 0.26588 F2: 0.46588 Total predictions: 13000 True positives: 1869 False positives: 10190 False negatives: 131 True negatives: 810 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20031 Precision: 0.15403 Recall: 0.93450 F1: 0.26447 F2: 0.46414 Total predictions: 13000 True positives: 1869 False positives: 10265 False negatives: 131 True negatives: 735 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19350 Precision: 0.14421 Recall: 0.94150 F1: 0.25012 F2: 0.44712 Total predictions: 14000 True positives: 1883 False positives: 11174 False negatives: 117 True negatives: 826 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.20392 Precision: 0.15520 Recall: 0.93950 F1: 0.26639 F2: 0.46725 Total predictions: 13000 True positives: 1879 False positives: 10228 False negatives: 121 True negatives: 772 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.22793 Precision: 0.13936 Recall: 0.85100 F1: 0.23950 F2: 0.42102 Total predictions: 14000 True positives: 1702 False positives: 10511 False negatives: 298 True negatives: 1489 ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.19779 Precision: 0.14575 Recall: 0.94950 F1: 0.25271 F2: 0.45152 Total predictions: 14000 True positives: 1899 False positives: 11130 False negatives: 101 True negatives: 870 ['poi', 'expenses', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.85586 Precision: 0.49342 Recall: 0.33750 F1: 0.40083 F2: 0.36027 Total predictions: 14000 True positives: 675 False positives: 693 False negatives: 1325 True negatives: 11307 ['poi', 'expenses', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81000 Precision: 0.31408 Recall: 0.19850 F1: 0.24326 F2: 0.21427 Total predictions: 13000 True positives: 397 False positives: 867 False negatives: 1603 True negatives: 10133 ['poi', 'expenses', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.80562 Precision: 0.31246 Recall: 0.21950 F1: 0.25786 F2: 0.23339 Total predictions: 13000 True positives: 439 False positives: 966 False negatives: 1561 True negatives: 10034 ['poi', 'expenses', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.82157 Precision: 0.27807 Recall: 0.15600 F1: 0.19987 F2: 0.17102 Total predictions: 14000 True positives: 312 False positives: 810 False negatives: 1688 True negatives: 11190 ['poi', 'expenses', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'salary'] Accuracy: 0.81162 Precision: 0.31307 Recall: 0.18800 F1: 0.23493 F2: 0.20433 Total predictions: 13000 True positives: 376 False positives: 825 False negatives: 1624 True negatives: 10175 ['poi', 'expenses', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.83657 Precision: 0.30274 Recall: 0.11050 F1: 0.16190 F2: 0.12658 Total predictions: 14000 True positives: 221 False positives: 509 False negatives: 1779 True negatives: 11491 ['poi', 'expenses', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.85650 Precision: 0.49663 Recall: 0.33200 F1: 0.39796 F2: 0.35557 Total predictions: 14000 True positives: 664 False positives: 673 False negatives: 1336 True negatives: 11327 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86750 Precision: 0.57331 Recall: 0.28350 F1: 0.37939 F2: 0.31539 Total predictions: 14000 True positives: 567 False positives: 422 False negatives: 1433 True negatives: 11578 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86807 Precision: 0.57798 Recall: 0.28350 F1: 0.38041 F2: 0.31567 Total predictions: 14000 True positives: 567 False positives: 414 False negatives: 1433 True negatives: 11586 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86179 Precision: 0.53208 Recall: 0.26950 F1: 0.35778 F2: 0.29901 Total predictions: 14000 True positives: 539 False positives: 474 False negatives: 1461 True negatives: 11526 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.85321 Precision: 0.47577 Recall: 0.27000 F1: 0.34450 F2: 0.29557 Total predictions: 14000 True positives: 540 False positives: 595 False negatives: 1460 True negatives: 11405 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.85453 Precision: 0.39934 Recall: 0.18050 F1: 0.24862 F2: 0.20272 Total predictions: 15000 True positives: 361 False positives: 543 False negatives: 1639 True negatives: 12457 ['poi', 'expenses', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84964 Precision: 0.45763 Recall: 0.28350 F1: 0.35011 F2: 0.30685 Total predictions: 14000 True positives: 567 False positives: 672 False negatives: 1433 True negatives: 11328 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.74508 Precision: 0.09301 Recall: 0.06050 F1: 0.07331 F2: 0.06505 Total predictions: 12000 True positives: 121 False positives: 1180 False negatives: 1879 True negatives: 8820 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81662 Precision: 0.26699 Recall: 0.11000 F1: 0.15581 F2: 0.12466 Total predictions: 13000 True positives: 220 False positives: 604 False negatives: 1780 True negatives: 10396 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78931 Precision: 0.23513 Recall: 0.16400 F1: 0.19323 F2: 0.17456 Total predictions: 13000 True positives: 328 False positives: 1067 False negatives: 1672 True negatives: 9933 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83629 Precision: 0.17841 Recall: 0.04050 F1: 0.06601 F2: 0.04791 Total predictions: 14000 True positives: 81 False positives: 373 False negatives: 1919 True negatives: 11627 ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85871 Precision: 0.50996 Recall: 0.28150 F1: 0.36276 F2: 0.30920 Total predictions: 14000 True positives: 563 False positives: 541 False negatives: 1437 True negatives: 11459 ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80077 Precision: 0.21635 Recall: 0.11250 F1: 0.14803 F2: 0.12445 Total predictions: 13000 True positives: 225 False positives: 815 False negatives: 1775 True negatives: 10185 ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.75746 Precision: 0.18514 Recall: 0.16950 F1: 0.17698 F2: 0.17241 Total predictions: 13000 True positives: 339 False positives: 1492 False negatives: 1661 True negatives: 9508 ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83393 Precision: 0.13969 Recall: 0.03150 F1: 0.05141 F2: 0.03727 Total predictions: 14000 True positives: 63 False positives: 388 False negatives: 1937 True negatives: 11612 ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86021 Precision: 0.51982 Recall: 0.28200 F1: 0.36564 F2: 0.31040 Total predictions: 14000 True positives: 564 False positives: 521 False negatives: 1436 True negatives: 11479 ['poi', 'expenses', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.82579 Precision: 0.28203 Recall: 0.14200 F1: 0.18889 F2: 0.15766 Total predictions: 14000 True positives: 284 False positives: 723 False negatives: 1716 True negatives: 11277 ['poi', 'expenses', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.83343 Precision: 0.22787 Recall: 0.06950 F1: 0.10651 F2: 0.08072 Total predictions: 14000 True positives: 139 False positives: 471 False negatives: 1861 True negatives: 11529 ['poi', 'expenses', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84843 Precision: 0.44917 Recall: 0.26950 F1: 0.33687 F2: 0.29293 Total predictions: 14000 True positives: 539 False positives: 661 False negatives: 1461 True negatives: 11339 ['poi', 'expenses', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.83700 Precision: 0.22461 Recall: 0.05750 F1: 0.09156 F2: 0.06755 Total predictions: 14000 True positives: 115 False positives: 397 False negatives: 1885 True negatives: 11603 ['poi', 'expenses', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.85564 Precision: 0.49065 Recall: 0.27550 F1: 0.35287 F2: 0.30198 Total predictions: 14000 True positives: 551 False positives: 572 False negatives: 1449 True negatives: 11428 ['poi', 'expenses', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85880 Precision: 0.43091 Recall: 0.18400 F1: 0.25788 F2: 0.20782 Total predictions: 15000 True positives: 368 False positives: 486 False negatives: 1632 True negatives: 12514 ['poi', 'expenses', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.28800 Precision: 0.18153 Recall: 0.93250 F1: 0.30389 F2: 0.51029 Total predictions: 12000 True positives: 1865 False positives: 8409 False negatives: 135 True negatives: 1591 ['poi', 'expenses', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'bonus'] Accuracy: 0.29500 Precision: 0.18364 Recall: 0.93750 F1: 0.30713 F2: 0.51483 Total predictions: 12000 True positives: 1875 False positives: 8335 False negatives: 125 True negatives: 1665 ['poi', 'expenses', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.50367 Precision: 0.19400 Recall: 0.86300 F1: 0.31678 F2: 0.51074 Total predictions: 15000 True positives: 1726 False positives: 7171 False negatives: 274 True negatives: 5829 ['poi', 'expenses', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27292 Precision: 0.16803 Recall: 0.94300 F1: 0.28524 F2: 0.49053 Total predictions: 13000 True positives: 1886 False positives: 9338 False negatives: 114 True negatives: 1662 ['poi', 'expenses', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.27485 Precision: 0.16003 Recall: 0.87400 F1: 0.27053 F2: 0.46187 Total predictions: 13000 True positives: 1748 False positives: 9175 False negatives: 252 True negatives: 1825 ['poi', 'expenses', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.25436 Precision: 0.15360 Recall: 0.93550 F1: 0.26387 F2: 0.46355 Total predictions: 14000 True positives: 1871 False positives: 10310 False negatives: 129 True negatives: 1690 ['poi', 'expenses', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'salary'] Accuracy: 0.29333 Precision: 0.18279 Recall: 0.93350 F1: 0.30571 F2: 0.51252 Total predictions: 12000 True positives: 1867 False positives: 8347 False negatives: 133 True negatives: 1653 ['poi', 'expenses', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'total_payments'] Accuracy: 0.62377 Precision: 0.20816 Recall: 0.51550 F1: 0.29656 F2: 0.39798 Total predictions: 13000 True positives: 1031 False positives: 3922 False negatives: 969 True negatives: 7078 ['poi', 'expenses', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.41107 Precision: 0.18507 Recall: 0.91750 F1: 0.30802 F2: 0.51214 Total predictions: 14000 True positives: 1835 False positives: 8080 False negatives: 165 True negatives: 3920 ['poi', 'expenses', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.19842 Precision: 0.16575 Recall: 0.94450 F1: 0.28200 F2: 0.48693 Total predictions: 12000 True positives: 1889 False positives: 9508 False negatives: 111 True negatives: 492 ['poi', 'expenses', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21000 Precision: 0.14065 Recall: 0.88650 F1: 0.24278 F2: 0.43021 Total predictions: 14000 True positives: 1773 False positives: 10833 False negatives: 227 True negatives: 1167 ['poi', 'expenses', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19108 Precision: 0.16459 Recall: 0.94550 F1: 0.28038 F2: 0.48515 Total predictions: 12000 True positives: 1891 False positives: 9598 False negatives: 109 True negatives: 402 ['poi', 'expenses', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.19092 Precision: 0.15710 Recall: 0.88300 F1: 0.26675 F2: 0.45892 Total predictions: 12000 True positives: 1766 False positives: 9475 False negatives: 234 True negatives: 525 ['poi', 'expenses', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17036 Precision: 0.14110 Recall: 0.94500 F1: 0.24553 F2: 0.44169 Total predictions: 14000 True positives: 1890 False positives: 11505 False negatives: 110 True negatives: 495 ['poi', 'expenses', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.19792 Precision: 0.16531 Recall: 0.94150 F1: 0.28123 F2: 0.48553 Total predictions: 12000 True positives: 1883 False positives: 9508 False negatives: 117 True negatives: 492 ['poi', 'expenses', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22723 Precision: 0.14865 Recall: 0.85100 F1: 0.25309 F2: 0.43753 Total predictions: 13000 True positives: 1702 False positives: 9748 False negatives: 298 True negatives: 1252 ['poi', 'expenses', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21864 Precision: 0.14275 Recall: 0.89300 F1: 0.24616 F2: 0.43538 Total predictions: 14000 True positives: 1786 False positives: 10725 False negatives: 214 True negatives: 1275 ['poi', 'expenses', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.84336 Precision: 0.41787 Recall: 0.24550 F1: 0.30929 F2: 0.26757 Total predictions: 14000 True positives: 491 False positives: 684 False negatives: 1509 True negatives: 11316 ['poi', 'expenses', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.81683 Precision: 0.35355 Recall: 0.11950 F1: 0.17862 F2: 0.13774 Total predictions: 12000 True positives: 239 False positives: 437 False negatives: 1761 True negatives: 9563 ['poi', 'expenses', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.80292 Precision: 0.27552 Recall: 0.11200 F1: 0.15926 F2: 0.12708 Total predictions: 12000 True positives: 224 False positives: 589 False negatives: 1776 True negatives: 9411 ['poi', 'expenses', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.81369 Precision: 0.26608 Recall: 0.12000 F1: 0.16540 F2: 0.13480 Total predictions: 13000 True positives: 240 False positives: 662 False negatives: 1760 True negatives: 10338 ['poi', 'expenses', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'salary'] Accuracy: 0.80073 Precision: 0.34810 Recall: 0.11000 F1: 0.16717 F2: 0.12743 Total predictions: 11000 True positives: 220 False positives: 412 False negatives: 1780 True negatives: 8588 ['poi', 'expenses', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'total_payments'] Accuracy: 0.82262 Precision: 0.31111 Recall: 0.12600 F1: 0.17936 F2: 0.14302 Total predictions: 13000 True positives: 252 False positives: 558 False negatives: 1748 True negatives: 10442 ['poi', 'expenses', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.84636 Precision: 0.43105 Recall: 0.23600 F1: 0.30501 F2: 0.25948 Total predictions: 14000 True positives: 472 False positives: 623 False negatives: 1528 True negatives: 11377 ['poi', 'expenses', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85221 Precision: 0.45704 Recall: 0.18350 F1: 0.26186 F2: 0.20845 Total predictions: 14000 True positives: 367 False positives: 436 False negatives: 1633 True negatives: 11564 ['poi', 'expenses', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85250 Precision: 0.45912 Recall: 0.18250 F1: 0.26118 F2: 0.20750 Total predictions: 14000 True positives: 365 False positives: 430 False negatives: 1635 True negatives: 11570 ['poi', 'expenses', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85907 Precision: 0.51519 Recall: 0.22900 F1: 0.31706 F2: 0.25762 Total predictions: 14000 True positives: 458 False positives: 431 False negatives: 1542 True negatives: 11569 ['poi', 'expenses', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84886 Precision: 0.43079 Recall: 0.18050 F1: 0.25440 F2: 0.20423 Total predictions: 14000 True positives: 361 False positives: 477 False negatives: 1639 True negatives: 11523 ['poi', 'expenses', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.84073 Precision: 0.31737 Recall: 0.16900 F1: 0.22055 F2: 0.18643 Total predictions: 15000 True positives: 338 False positives: 727 False negatives: 1662 True negatives: 12273 ['poi', 'expenses', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84686 Precision: 0.43064 Recall: 0.22350 F1: 0.29427 F2: 0.24729 Total predictions: 14000 True positives: 447 False positives: 591 False negatives: 1553 True negatives: 11409 ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79300 Precision: 0.00612 Recall: 0.00150 F1: 0.00241 F2: 0.00177 Total predictions: 12000 True positives: 3 False positives: 487 False negatives: 1997 True negatives: 9513 ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82200 Precision: 0.15449 Recall: 0.05500 F1: 0.08112 F2: 0.06313 Total predictions: 14000 True positives: 110 False positives: 602 False negatives: 1890 True negatives: 11398 ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80625 Precision: 0.18929 Recall: 0.04950 F1: 0.07848 F2: 0.05808 Total predictions: 12000 True positives: 99 False positives: 424 False negatives: 1901 True negatives: 9576 ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.81815 Precision: 0.00811 Recall: 0.00150 F1: 0.00253 F2: 0.00179 Total predictions: 13000 True positives: 3 False positives: 367 False negatives: 1997 True negatives: 10633 ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85421 Precision: 0.47415 Recall: 0.18800 F1: 0.26924 F2: 0.21381 Total predictions: 14000 True positives: 376 False positives: 417 False negatives: 1624 True negatives: 11583 ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80115 Precision: 0.13115 Recall: 0.05200 F1: 0.07447 F2: 0.05914 Total predictions: 13000 True positives: 104 False positives: 689 False negatives: 1896 True negatives: 10311 ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80300 Precision: 0.19565 Recall: 0.05850 F1: 0.09007 F2: 0.06804 Total predictions: 12000 True positives: 117 False positives: 481 False negatives: 1883 True negatives: 9519 ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.81800 Precision: 0.01330 Recall: 0.00250 F1: 0.00421 F2: 0.00298 Total predictions: 13000 True positives: 5 False positives: 371 False negatives: 1995 True negatives: 10629 ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85500 Precision: 0.48116 Recall: 0.19150 F1: 0.27396 F2: 0.21771 Total predictions: 14000 True positives: 383 False positives: 413 False negatives: 1617 True negatives: 11587 ['poi', 'expenses', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'other', 'restricted_stock', 'salary'] Accuracy: 0.81615 Precision: 0.17928 Recall: 0.05450 F1: 0.08359 F2: 0.06331 Total predictions: 13000 True positives: 109 False positives: 499 False negatives: 1891 True negatives: 10501 ['poi', 'expenses', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.81929 Precision: 0.16199 Recall: 0.06350 F1: 0.09124 F2: 0.07229 Total predictions: 14000 True positives: 127 False positives: 657 False negatives: 1873 True negatives: 11343 ['poi', 'expenses', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85114 Precision: 0.45775 Recall: 0.22750 F1: 0.30394 F2: 0.25295 Total predictions: 14000 True positives: 455 False positives: 539 False negatives: 1545 True negatives: 11461 ['poi', 'expenses', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'other', 'salary', 'total_payments'] Accuracy: 0.81892 Precision: 0.20202 Recall: 0.06000 F1: 0.09252 F2: 0.06982 Total predictions: 13000 True positives: 120 False positives: 474 False negatives: 1880 True negatives: 10526 ['poi', 'expenses', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.84850 Precision: 0.42595 Recall: 0.17400 F1: 0.24707 F2: 0.19735 Total predictions: 14000 True positives: 348 False positives: 469 False negatives: 1652 True negatives: 11531 ['poi', 'expenses', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83979 Precision: 0.36950 Recall: 0.17200 F1: 0.23473 F2: 0.19259 Total predictions: 14000 True positives: 344 False positives: 587 False negatives: 1656 True negatives: 11413 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.30517 Precision: 0.19346 Recall: 1.00000 F1: 0.32420 F2: 0.54532 Total predictions: 12000 True positives: 2000 False positives: 8338 False negatives: 0 True negatives: 1662 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26036 Precision: 0.16188 Recall: 1.00000 F1: 0.27865 F2: 0.49128 Total predictions: 14000 True positives: 2000 False positives: 10355 False negatives: 0 True negatives: 1645 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.29792 Precision: 0.18600 Recall: 0.95150 F1: 0.31118 F2: 0.52191 Total predictions: 12000 True positives: 1903 False positives: 8328 False negatives: 97 True negatives: 1672 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.25957 Precision: 0.16108 Recall: 0.99400 F1: 0.27723 F2: 0.48864 Total predictions: 14000 True positives: 1988 False positives: 10354 False negatives: 12 True negatives: 1646 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.29858 Precision: 0.19164 Recall: 0.99700 F1: 0.32148 F2: 0.54170 Total predictions: 12000 True positives: 1994 False positives: 8411 False negatives: 6 True negatives: 1589 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.26671 Precision: 0.16305 Recall: 1.00000 F1: 0.28039 F2: 0.49344 Total predictions: 14000 True positives: 2000 False positives: 10266 False negatives: 0 True negatives: 1734 ['poi', 'expenses', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.43447 Precision: 0.19008 Recall: 0.99400 F1: 0.31913 F2: 0.53849 Total predictions: 15000 True positives: 1988 False positives: 8471 False negatives: 12 True negatives: 4529 ['poi', 'expenses', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.28377 Precision: 0.17682 Recall: 1.00000 F1: 0.30050 F2: 0.51784 Total predictions: 13000 True positives: 2000 False positives: 9311 False negatives: 0 True negatives: 1689 ['poi', 'expenses', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.28123 Precision: 0.17138 Recall: 0.95750 F1: 0.29072 F2: 0.49937 Total predictions: 13000 True positives: 1915 False positives: 9259 False negatives: 85 True negatives: 1741 ['poi', 'expenses', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.26279 Precision: 0.16189 Recall: 0.99600 F1: 0.27850 F2: 0.49052 Total predictions: 14000 True positives: 1992 False positives: 10313 False negatives: 8 True negatives: 1687 ['poi', 'expenses', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'salary'] Accuracy: 0.29858 Precision: 0.19134 Recall: 0.99450 F1: 0.32094 F2: 0.54064 Total predictions: 12000 True positives: 1989 False positives: 8406 False negatives: 11 True negatives: 1594 ['poi', 'expenses', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.56277 Precision: 0.20556 Recall: 0.64300 F1: 0.31153 F2: 0.45104 Total predictions: 13000 True positives: 1286 False positives: 4970 False negatives: 714 True negatives: 6030 ['poi', 'expenses', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.33021 Precision: 0.17551 Recall: 0.99750 F1: 0.29850 F2: 0.51505 Total predictions: 14000 True positives: 1995 False positives: 9372 False negatives: 5 True negatives: 2628 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.25013 Precision: 0.15097 Recall: 1.00000 F1: 0.26233 F2: 0.47063 Total predictions: 15000 True positives: 2000 False positives: 11248 False negatives: 0 True negatives: 1752 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.25027 Precision: 0.15099 Recall: 1.00000 F1: 0.26236 F2: 0.47068 Total predictions: 15000 True positives: 2000 False positives: 11246 False negatives: 0 True negatives: 1754 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.39080 Precision: 0.17841 Recall: 0.99000 F1: 0.30234 F2: 0.51838 Total predictions: 15000 True positives: 1980 False positives: 9118 False negatives: 20 True negatives: 3882 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.36160 Precision: 0.17277 Recall: 1.00000 F1: 0.29464 F2: 0.51083 Total predictions: 15000 True positives: 2000 False positives: 9576 False negatives: 0 True negatives: 3424 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.72927 Precision: 0.20464 Recall: 0.35700 F1: 0.26016 F2: 0.31073 Total predictions: 15000 True positives: 714 False positives: 2775 False negatives: 1286 True negatives: 10225 ['poi', 'expenses', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.55457 Precision: 0.20378 Recall: 0.72850 F1: 0.31847 F2: 0.48086 Total predictions: 14000 True positives: 1457 False positives: 5693 False negatives: 543 True negatives: 6307 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.28269 Precision: 0.17126 Recall: 0.95400 F1: 0.29039 F2: 0.49841 Total predictions: 13000 True positives: 1908 False positives: 9233 False negatives: 92 True negatives: 1767 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.26079 Precision: 0.16097 Recall: 0.99100 F1: 0.27695 F2: 0.48786 Total predictions: 14000 True positives: 1982 False positives: 10331 False negatives: 18 True negatives: 1669 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.27631 Precision: 0.17475 Recall: 0.99500 F1: 0.29728 F2: 0.51320 Total predictions: 13000 True positives: 1990 False positives: 9398 False negatives: 10 True negatives: 1602 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.41993 Precision: 0.19020 Recall: 0.93950 F1: 0.31636 F2: 0.52548 Total predictions: 14000 True positives: 1879 False positives: 8000 False negatives: 121 True negatives: 4000 ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26057 Precision: 0.16192 Recall: 1.00000 F1: 0.27871 F2: 0.49135 Total predictions: 14000 True positives: 2000 False positives: 10352 False negatives: 0 True negatives: 1648 ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.25364 Precision: 0.15347 Recall: 0.93550 F1: 0.26369 F2: 0.46333 Total predictions: 14000 True positives: 1871 False positives: 10320 False negatives: 129 True negatives: 1680 ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.27931 Precision: 0.16707 Recall: 0.92450 F1: 0.28300 F2: 0.48487 Total predictions: 13000 True positives: 1849 False positives: 9218 False negatives: 151 True negatives: 1782 ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.43321 Precision: 0.19137 Recall: 0.92000 F1: 0.31683 F2: 0.52228 Total predictions: 14000 True positives: 1840 False positives: 7775 False negatives: 160 True negatives: 4225 ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.25771 Precision: 0.16139 Recall: 1.00000 F1: 0.27793 F2: 0.49039 Total predictions: 14000 True positives: 2000 False positives: 10392 False negatives: 0 True negatives: 1608 ['poi', 'expenses', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.26393 Precision: 0.16221 Recall: 0.99700 F1: 0.27902 F2: 0.49130 Total predictions: 14000 True positives: 1994 False positives: 10299 False negatives: 6 True negatives: 1701 ['poi', 'expenses', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.64371 Precision: 0.22022 Recall: 0.58800 F1: 0.32044 F2: 0.44078 Total predictions: 14000 True positives: 1176 False positives: 4164 False negatives: 824 True negatives: 7836 ['poi', 'expenses', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.33707 Precision: 0.16711 Recall: 0.99700 F1: 0.28625 F2: 0.50020 Total predictions: 15000 True positives: 1994 False positives: 9938 False negatives: 6 True negatives: 3062 ['poi', 'expenses', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.52485 Precision: 0.21581 Recall: 0.79300 F1: 0.33929 F2: 0.51665 Total predictions: 13000 True positives: 1586 False positives: 5763 False negatives: 414 True negatives: 5237 ['poi', 'expenses', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.28264 Precision: 0.16607 Recall: 1.00000 F1: 0.28484 F2: 0.49893 Total predictions: 14000 True positives: 2000 False positives: 10043 False negatives: 0 True negatives: 1957 ['poi', 'expenses', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.72500 Precision: 0.22778 Recall: 0.38700 F1: 0.28677 F2: 0.33953 Total predictions: 14000 True positives: 774 False positives: 2624 False negatives: 1226 True negatives: 9376 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21543 Precision: 0.15048 Recall: 0.96700 F1: 0.26044 F2: 0.46374 Total predictions: 14000 True positives: 1934 False positives: 10918 False negatives: 66 True negatives: 1082 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.20608 Precision: 0.17351 Recall: 1.00000 F1: 0.29570 F2: 0.51211 Total predictions: 12000 True positives: 2000 False positives: 9527 False negatives: 0 True negatives: 473 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.19558 Precision: 0.16443 Recall: 0.93750 F1: 0.27979 F2: 0.48317 Total predictions: 12000 True positives: 1875 False positives: 9528 False negatives: 125 True negatives: 472 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.18515 Precision: 0.15849 Recall: 0.99700 F1: 0.27351 F2: 0.48443 Total predictions: 13000 True positives: 1994 False positives: 10587 False negatives: 6 True negatives: 413 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.20217 Precision: 0.17212 Recall: 0.99400 F1: 0.29343 F2: 0.50844 Total predictions: 12000 True positives: 1988 False positives: 9562 False negatives: 12 True negatives: 438 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22469 Precision: 0.15071 Recall: 0.87150 F1: 0.25698 F2: 0.44544 Total predictions: 13000 True positives: 1743 False positives: 9822 False negatives: 257 True negatives: 1178 ['poi', 'expenses', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.21500 Precision: 0.15068 Recall: 0.96950 F1: 0.26083 F2: 0.46459 Total predictions: 14000 True positives: 1939 False positives: 10929 False negatives: 61 True negatives: 1071 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.19886 Precision: 0.15027 Recall: 0.99000 F1: 0.26094 F2: 0.46751 Total predictions: 14000 True positives: 1980 False positives: 11196 False negatives: 20 True negatives: 804 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.20143 Precision: 0.14989 Recall: 0.98250 F1: 0.26009 F2: 0.46542 Total predictions: 14000 True positives: 1965 False positives: 11145 False negatives: 35 True negatives: 855 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.21221 Precision: 0.14930 Recall: 0.96100 F1: 0.25845 F2: 0.46040 Total predictions: 14000 True positives: 1922 False positives: 10951 False negatives: 78 True negatives: 1049 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.21729 Precision: 0.15073 Recall: 0.96650 F1: 0.26079 F2: 0.46413 Total predictions: 14000 True positives: 1933 False positives: 10891 False negatives: 67 True negatives: 1109 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22760 Precision: 0.13311 Recall: 0.86950 F1: 0.23088 F2: 0.41279 Total predictions: 15000 True positives: 1739 False positives: 11325 False negatives: 261 True negatives: 1675 ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.22750 Precision: 0.14866 Recall: 0.93250 F1: 0.25645 F2: 0.45388 Total predictions: 14000 True positives: 1865 False positives: 10680 False negatives: 135 True negatives: 1320 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.19308 Precision: 0.16400 Recall: 0.93750 F1: 0.27916 F2: 0.48243 Total predictions: 12000 True positives: 1875 False positives: 9558 False negatives: 125 True negatives: 442 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.18423 Precision: 0.15812 Recall: 0.99500 F1: 0.27288 F2: 0.48336 Total predictions: 13000 True positives: 1990 False positives: 10595 False negatives: 10 True negatives: 405 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.19625 Precision: 0.17107 Recall: 0.99400 F1: 0.29190 F2: 0.50660 Total predictions: 12000 True positives: 1988 False positives: 9633 False negatives: 12 True negatives: 367 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21393 Precision: 0.14000 Recall: 0.87550 F1: 0.24140 F2: 0.42693 Total predictions: 14000 True positives: 1751 False positives: 10756 False negatives: 249 True negatives: 1244 ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.20336 Precision: 0.15169 Recall: 0.99650 F1: 0.26329 F2: 0.47140 Total predictions: 14000 True positives: 1993 False positives: 11146 False negatives: 7 True negatives: 854 ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.17638 Precision: 0.15113 Recall: 0.94300 F1: 0.26052 F2: 0.46047 Total predictions: 13000 True positives: 1886 False positives: 10593 False negatives: 114 True negatives: 407 ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.19642 Precision: 0.16481 Recall: 0.93950 F1: 0.28043 F2: 0.48425 Total predictions: 12000 True positives: 1879 False positives: 9522 False negatives: 121 True negatives: 478 ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22938 Precision: 0.15139 Recall: 0.87050 F1: 0.25793 F2: 0.44641 Total predictions: 13000 True positives: 1741 False positives: 9759 False negatives: 259 True negatives: 1241 ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.20643 Precision: 0.15085 Recall: 0.98400 F1: 0.26160 F2: 0.46755 Total predictions: 14000 True positives: 1968 False positives: 11078 False negatives: 32 True negatives: 922 ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.18362 Precision: 0.15748 Recall: 0.99000 F1: 0.27174 F2: 0.48121 Total predictions: 13000 True positives: 1980 False positives: 10593 False negatives: 20 True negatives: 407 ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.21036 Precision: 0.13927 Recall: 0.87400 F1: 0.24026 F2: 0.42528 Total predictions: 14000 True positives: 1748 False positives: 10803 False negatives: 252 True negatives: 1197 ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.21057 Precision: 0.14953 Recall: 0.96550 F1: 0.25895 F2: 0.46165 Total predictions: 14000 True positives: 1931 False positives: 10983 False negatives: 69 True negatives: 1017 ['poi', 'expenses', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22446 Precision: 0.15019 Recall: 0.86750 F1: 0.25605 F2: 0.44369 Total predictions: 13000 True positives: 1735 False positives: 9817 False negatives: 265 True negatives: 1183 ['poi', 'expenses', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.21393 Precision: 0.15062 Recall: 0.97050 F1: 0.26076 F2: 0.46464 Total predictions: 14000 True positives: 1941 False positives: 10946 False negatives: 59 True negatives: 1054 ['poi', 'expenses', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22543 Precision: 0.14241 Recall: 0.88050 F1: 0.24516 F2: 0.43234 Total predictions: 14000 True positives: 1761 False positives: 10605 False negatives: 239 True negatives: 1395 ['poi', 'expenses', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85886 Precision: 0.51005 Recall: 0.30450 F1: 0.38134 F2: 0.33119 Total predictions: 14000 True positives: 609 False positives: 585 False negatives: 1391 True negatives: 11415 ['poi', 'expenses', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85771 Precision: 0.50337 Recall: 0.29900 F1: 0.37516 F2: 0.32542 Total predictions: 14000 True positives: 598 False positives: 590 False negatives: 1402 True negatives: 11410 ['poi', 'expenses', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85929 Precision: 0.51121 Recall: 0.34200 F1: 0.40983 F2: 0.36625 Total predictions: 14000 True positives: 684 False positives: 654 False negatives: 1316 True negatives: 11346 ['poi', 'expenses', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.84807 Precision: 0.45112 Recall: 0.29300 F1: 0.35526 F2: 0.31509 Total predictions: 14000 True positives: 586 False positives: 713 False negatives: 1414 True negatives: 11287 ['poi', 'expenses', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.85167 Precision: 0.40426 Recall: 0.23750 F1: 0.29921 F2: 0.25886 Total predictions: 15000 True positives: 475 False positives: 700 False negatives: 1525 True negatives: 12300 ['poi', 'expenses', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85007 Precision: 0.46584 Recall: 0.33750 F1: 0.39142 F2: 0.35718 Total predictions: 14000 True positives: 675 False positives: 774 False negatives: 1325 True negatives: 11226 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.81058 Precision: 0.35884 Recall: 0.17350 F1: 0.23391 F2: 0.19349 Total predictions: 12000 True positives: 347 False positives: 620 False negatives: 1653 True negatives: 9380 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.82538 Precision: 0.36527 Recall: 0.18300 F1: 0.24384 F2: 0.20329 Total predictions: 13000 True positives: 366 False positives: 636 False negatives: 1634 True negatives: 10364 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.82108 Precision: 0.42953 Recall: 0.22400 F1: 0.29445 F2: 0.24771 Total predictions: 12000 True positives: 448 False positives: 595 False negatives: 1552 True negatives: 9405 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83054 Precision: 0.35269 Recall: 0.12150 F1: 0.18074 F2: 0.13983 Total predictions: 13000 True positives: 243 False positives: 446 False negatives: 1757 True negatives: 10554 ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85414 Precision: 0.48253 Recall: 0.29000 F1: 0.36227 F2: 0.31515 Total predictions: 14000 True positives: 580 False positives: 622 False negatives: 1420 True negatives: 11378 ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81538 Precision: 0.30315 Recall: 0.15400 F1: 0.20424 F2: 0.17081 Total predictions: 13000 True positives: 308 False positives: 708 False negatives: 1692 True negatives: 10292 ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80242 Precision: 0.31282 Recall: 0.15500 F1: 0.20729 F2: 0.17239 Total predictions: 12000 True positives: 310 False positives: 681 False negatives: 1690 True negatives: 9319 ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83246 Precision: 0.37176 Recall: 0.12900 F1: 0.19154 F2: 0.14838 Total predictions: 13000 True positives: 258 False positives: 436 False negatives: 1742 True negatives: 10564 ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85621 Precision: 0.49436 Recall: 0.28500 F1: 0.36156 F2: 0.31137 Total predictions: 14000 True positives: 570 False positives: 583 False negatives: 1430 True negatives: 11417 ['poi', 'expenses', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.82131 Precision: 0.34921 Recall: 0.18700 F1: 0.24357 F2: 0.20615 Total predictions: 13000 True positives: 374 False positives: 697 False negatives: 1626 True negatives: 10303 ['poi', 'expenses', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82764 Precision: 0.28194 Recall: 0.13350 F1: 0.18120 F2: 0.14921 Total predictions: 14000 True positives: 267 False positives: 680 False negatives: 1733 True negatives: 11320 ['poi', 'expenses', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85464 Precision: 0.48753 Recall: 0.34200 F1: 0.40200 F2: 0.36371 Total predictions: 14000 True positives: 684 False positives: 719 False negatives: 1316 True negatives: 11281 ['poi', 'expenses', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82538 Precision: 0.33040 Recall: 0.13150 F1: 0.18813 F2: 0.14950 Total predictions: 13000 True positives: 263 False positives: 533 False negatives: 1737 True negatives: 10467 ['poi', 'expenses', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.85100 Precision: 0.46630 Recall: 0.29750 F1: 0.36325 F2: 0.32072 Total predictions: 14000 True positives: 595 False positives: 681 False negatives: 1405 True negatives: 11319 ['poi', 'expenses', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85171 Precision: 0.46346 Recall: 0.24100 F1: 0.31711 F2: 0.26659 Total predictions: 14000 True positives: 482 False positives: 558 False negatives: 1518 True negatives: 11442 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.87414 Precision: 0.63773 Recall: 0.27550 F1: 0.38478 F2: 0.31081 Total predictions: 14000 True positives: 551 False positives: 313 False negatives: 1449 True negatives: 11687 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.86850 Precision: 0.58154 Recall: 0.28350 F1: 0.38118 F2: 0.31588 Total predictions: 14000 True positives: 567 False positives: 408 False negatives: 1433 True negatives: 11592 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85843 Precision: 0.50922 Recall: 0.24850 F1: 0.33401 F2: 0.27685 Total predictions: 14000 True positives: 497 False positives: 479 False negatives: 1503 True negatives: 11521 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85360 Precision: 0.39462 Recall: 0.18350 F1: 0.25051 F2: 0.20549 Total predictions: 15000 True positives: 367 False positives: 563 False negatives: 1633 True negatives: 12437 ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85286 Precision: 0.47418 Recall: 0.27550 F1: 0.34851 F2: 0.30070 Total predictions: 14000 True positives: 551 False positives: 611 False negatives: 1449 True negatives: 11389 ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.86986 Precision: 0.59310 Recall: 0.28350 F1: 0.38363 F2: 0.31655 Total predictions: 14000 True positives: 567 False positives: 389 False negatives: 1433 True negatives: 11611 ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.86307 Precision: 0.54516 Recall: 0.25050 F1: 0.34327 F2: 0.28086 Total predictions: 14000 True positives: 501 False positives: 418 False negatives: 1499 True negatives: 11582 ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85393 Precision: 0.39676 Recall: 0.18350 F1: 0.25094 F2: 0.20560 Total predictions: 15000 True positives: 367 False positives: 558 False negatives: 1633 True negatives: 12442 ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85479 Precision: 0.48546 Recall: 0.27550 F1: 0.35152 F2: 0.30159 Total predictions: 14000 True positives: 551 False positives: 584 False negatives: 1449 True negatives: 11416 ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.86243 Precision: 0.53707 Recall: 0.26800 F1: 0.35757 F2: 0.29784 Total predictions: 14000 True positives: 536 False positives: 462 False negatives: 1464 True negatives: 11538 ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85527 Precision: 0.40382 Recall: 0.17950 F1: 0.24853 F2: 0.20193 Total predictions: 15000 True positives: 359 False positives: 530 False negatives: 1641 True negatives: 12470 ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85543 Precision: 0.48964 Recall: 0.28350 F1: 0.35909 F2: 0.30957 Total predictions: 14000 True positives: 567 False positives: 591 False negatives: 1433 True negatives: 11409 ['poi', 'expenses', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.85067 Precision: 0.37368 Recall: 0.17750 F1: 0.24068 F2: 0.19832 Total predictions: 15000 True positives: 355 False positives: 595 False negatives: 1645 True negatives: 12405 ['poi', 'expenses', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.85800 Precision: 0.50535 Recall: 0.28350 F1: 0.36323 F2: 0.31079 Total predictions: 14000 True positives: 567 False positives: 555 False negatives: 1433 True negatives: 11445 ['poi', 'expenses', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85000 Precision: 0.39353 Recall: 0.23100 F1: 0.29112 F2: 0.25180 Total predictions: 15000 True positives: 462 False positives: 712 False negatives: 1538 True negatives: 12288 ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81223 Precision: 0.17526 Recall: 0.05950 F1: 0.08884 F2: 0.06856 Total predictions: 13000 True positives: 119 False positives: 560 False negatives: 1881 True negatives: 10440 ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79683 Precision: 0.24711 Recall: 0.10700 F1: 0.14934 F2: 0.12069 Total predictions: 12000 True positives: 214 False positives: 652 False negatives: 1786 True negatives: 9348 ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83479 Precision: 0.07588 Recall: 0.01400 F1: 0.02364 F2: 0.01673 Total predictions: 14000 True positives: 28 False positives: 341 False negatives: 1972 True negatives: 11659 ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86486 Precision: 0.55602 Recall: 0.26800 F1: 0.36167 F2: 0.29897 Total predictions: 14000 True positives: 536 False positives: 428 False negatives: 1464 True negatives: 11572 ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81108 Precision: 0.22922 Recall: 0.09650 F1: 0.13582 F2: 0.10914 Total predictions: 13000 True positives: 193 False positives: 649 False negatives: 1807 True negatives: 10351 ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82714 Precision: 0.17593 Recall: 0.05700 F1: 0.08610 F2: 0.06591 Total predictions: 14000 True positives: 114 False positives: 534 False negatives: 1886 True negatives: 11466 ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86329 Precision: 0.54103 Recall: 0.28350 F1: 0.37205 F2: 0.31333 Total predictions: 14000 True positives: 567 False positives: 481 False negatives: 1433 True negatives: 11519 ['poi', 'expenses', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.83131 Precision: 0.26406 Recall: 0.05400 F1: 0.08966 F2: 0.06422 Total predictions: 13000 True positives: 108 False positives: 301 False negatives: 1892 True negatives: 10699 ['poi', 'expenses', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.86207 Precision: 0.53795 Recall: 0.24450 F1: 0.33620 F2: 0.27444 Total predictions: 14000 True positives: 489 False positives: 420 False negatives: 1511 True negatives: 11580 ['poi', 'expenses', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84950 Precision: 0.43623 Recall: 0.18300 F1: 0.25784 F2: 0.20704 Total predictions: 14000 True positives: 366 False positives: 473 False negatives: 1634 True negatives: 11527 ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.81354 Precision: 0.24941 Recall: 0.10550 F1: 0.14828 F2: 0.11926 Total predictions: 13000 True positives: 211 False positives: 635 False negatives: 1789 True negatives: 10365 ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82879 Precision: 0.19879 Recall: 0.06550 F1: 0.09853 F2: 0.07564 Total predictions: 14000 True positives: 131 False positives: 528 False negatives: 1869 True negatives: 11472 ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86357 Precision: 0.54310 Recall: 0.28350 F1: 0.37254 F2: 0.31347 Total predictions: 14000 True positives: 567 False positives: 477 False negatives: 1433 True negatives: 11523 ['poi', 'expenses', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83115 Precision: 0.27891 Recall: 0.06150 F1: 0.10078 F2: 0.07286 Total predictions: 13000 True positives: 123 False positives: 318 False negatives: 1877 True negatives: 10682 ['poi', 'expenses', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.86364 Precision: 0.55347 Recall: 0.23550 F1: 0.33041 F2: 0.26607 Total predictions: 14000 True positives: 471 False positives: 380 False negatives: 1529 True negatives: 11620 ['poi', 'expenses', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85043 Precision: 0.44351 Recall: 0.18450 F1: 0.26059 F2: 0.20890 Total predictions: 14000 True positives: 369 False positives: 463 False negatives: 1631 True negatives: 11537 ['poi', 'expenses', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82821 Precision: 0.19911 Recall: 0.06700 F1: 0.10026 F2: 0.07725 Total predictions: 14000 True positives: 134 False positives: 539 False negatives: 1866 True negatives: 11461 ['poi', 'expenses', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.85900 Precision: 0.51243 Recall: 0.26800 F1: 0.35194 F2: 0.29626 Total predictions: 14000 True positives: 536 False positives: 510 False negatives: 1464 True negatives: 11490 ['poi', 'expenses', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85373 Precision: 0.39434 Recall: 0.18100 F1: 0.24812 F2: 0.20296 Total predictions: 15000 True positives: 362 False positives: 556 False negatives: 1638 True negatives: 12444 ['poi', 'expenses', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'expenses', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84393 Precision: 0.39665 Recall: 0.17750 F1: 0.24525 F2: 0.19955 Total predictions: 14000 True positives: 355 False positives: 540 False negatives: 1645 True negatives: 11460 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi'] Accuracy: 0.29223 Precision: 0.17856 Recall: 1.00000 F1: 0.30301 F2: 0.52081 Total predictions: 13000 True positives: 2000 False positives: 9201 False negatives: 0 True negatives: 1799 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages'] Accuracy: 0.31531 Precision: 0.17531 Recall: 0.93150 F1: 0.29508 F2: 0.50008 Total predictions: 13000 True positives: 1863 False positives: 8764 False negatives: 137 True negatives: 2236 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'other'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'other'] Accuracy: 0.32191 Precision: 0.20205 Recall: 0.92550 F1: 0.33169 F2: 0.53930 Total predictions: 11000 True positives: 1851 False positives: 7310 False negatives: 149 True negatives: 1690 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees'] Accuracy: 0.47930 Precision: 0.27751 Recall: 1.00000 F1: 0.43445 F2: 0.65759 Total predictions: 10000 True positives: 2000 False positives: 5207 False negatives: 0 True negatives: 2793 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees'] Accuracy: 0.36910 Precision: 0.24070 Recall: 1.00000 F1: 0.38801 F2: 0.61316 Total predictions: 10000 True positives: 2000 False positives: 6309 False negatives: 0 True negatives: 1691 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'bonus'] Accuracy: 0.32827 Precision: 0.21302 Recall: 1.00000 F1: 0.35122 F2: 0.57508 Total predictions: 11000 True positives: 2000 False positives: 7389 False negatives: 0 True negatives: 1611 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value'] Accuracy: 0.26429 Precision: 0.16260 Recall: 1.00000 F1: 0.27972 F2: 0.49261 Total predictions: 14000 True positives: 2000 False positives: 10300 False negatives: 0 True negatives: 1700 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person'] Accuracy: 0.30550 Precision: 0.19354 Recall: 1.00000 F1: 0.32431 F2: 0.54543 Total predictions: 12000 True positives: 2000 False positives: 8334 False negatives: 0 True negatives: 1666 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi'] Accuracy: 0.30317 Precision: 0.18629 Recall: 0.94450 F1: 0.31120 F2: 0.52067 Total predictions: 12000 True positives: 1889 False positives: 8251 False negatives: 111 True negatives: 1749 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock'] Accuracy: 0.28908 Precision: 0.17710 Recall: 0.99300 F1: 0.30059 F2: 0.51681 Total predictions: 13000 True positives: 1986 False positives: 9228 False negatives: 14 True negatives: 1772 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'salary'] Accuracy: 0.31333 Precision: 0.19424 Recall: 0.99100 F1: 0.32481 F2: 0.54439 Total predictions: 12000 True positives: 1982 False positives: 8222 False negatives: 18 True negatives: 1778 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments'] Accuracy: 0.27615 Precision: 0.16902 Recall: 0.94600 F1: 0.28680 F2: 0.49286 Total predictions: 13000 True positives: 1892 False positives: 9302 False negatives: 108 True negatives: 1698 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'exercised_stock_options'] Accuracy: 0.28062 Precision: 0.17618 Recall: 1.00000 F1: 0.29958 F2: 0.51674 Total predictions: 13000 True positives: 2000 False positives: 9352 False negatives: 0 True negatives: 1648 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.82775 Precision: 0.47704 Recall: 0.34800 F1: 0.40243 F2: 0.36790 Total predictions: 12000 True positives: 696 False positives: 763 False negatives: 1304 True negatives: 9237 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'other'] Accuracy: 0.82200 Precision: 0.33646 Recall: 0.16150 F1: 0.21824 F2: 0.18025 Total predictions: 13000 True positives: 323 False positives: 637 False negatives: 1677 True negatives: 10363 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.28469 Precision: 0.17701 Recall: 1.00000 F1: 0.30077 F2: 0.51816 Total predictions: 13000 True positives: 2000 False positives: 9299 False negatives: 0 True negatives: 1701 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.20075 Precision: 0.17255 Recall: 1.00000 F1: 0.29431 F2: 0.51044 Total predictions: 12000 True positives: 2000 False positives: 9591 False negatives: 0 True negatives: 409 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.84162 Precision: 0.48068 Recall: 0.36700 F1: 0.41622 F2: 0.38522 Total predictions: 13000 True positives: 734 False positives: 793 False negatives: 1266 True negatives: 10207 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.84614 Precision: 0.45211 Recall: 0.36350 F1: 0.40299 F2: 0.37833 Total predictions: 14000 True positives: 727 False positives: 881 False negatives: 1273 True negatives: 11119 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.81175 Precision: 0.40270 Recall: 0.26800 F1: 0.32183 F2: 0.28721 Total predictions: 12000 True positives: 536 False positives: 795 False negatives: 1464 True negatives: 9205 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.80833 Precision: 0.37981 Recall: 0.23700 F1: 0.29187 F2: 0.25627 Total predictions: 12000 True positives: 474 False positives: 774 False negatives: 1526 True negatives: 9226 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.83150 Precision: 0.39978 Recall: 0.35800 F1: 0.37774 F2: 0.36564 Total predictions: 14000 True positives: 716 False positives: 1075 False negatives: 1284 True negatives: 10925 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.83400 Precision: 0.44733 Recall: 0.33550 F1: 0.38343 F2: 0.35316 Total predictions: 13000 True positives: 671 False positives: 829 False negatives: 1329 True negatives: 10171 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.84400 Precision: 0.41756 Recall: 0.23300 F1: 0.29910 F2: 0.25559 Total predictions: 14000 True positives: 466 False positives: 650 False negatives: 1534 True negatives: 11350 ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.85064 Precision: 0.46907 Recall: 0.34500 F1: 0.39758 F2: 0.36427 Total predictions: 14000 True positives: 690 False positives: 781 False negatives: 1310 True negatives: 11219 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'other'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'other'] Accuracy: 0.82892 Precision: 0.39251 Recall: 0.20450 F1: 0.26890 F2: 0.22617 Total predictions: 13000 True positives: 409 False positives: 633 False negatives: 1591 True negatives: 10367 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'director_fees'] Accuracy: 0.30731 Precision: 0.17403 Recall: 0.93500 F1: 0.29345 F2: 0.49880 Total predictions: 13000 True positives: 1870 False positives: 8875 False negatives: 130 True negatives: 2125 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'resto_dirfees'] Accuracy: 0.22433 Precision: 0.16956 Recall: 0.93750 F1: 0.28718 F2: 0.49192 Total predictions: 12000 True positives: 1875 False positives: 9183 False negatives: 125 True negatives: 817 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'bonus'] Accuracy: 0.85077 Precision: 0.52146 Recall: 0.36450 F1: 0.42908 F2: 0.38785 Total predictions: 13000 True positives: 729 False positives: 669 False negatives: 1271 True negatives: 10331 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'total_stock_value'] Accuracy: 0.86136 Precision: 0.51871 Recall: 0.40900 F1: 0.45737 F2: 0.42706 Total predictions: 14000 True positives: 818 False positives: 759 False negatives: 1182 True negatives: 11241 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.83167 Precision: 0.49266 Recall: 0.33550 F1: 0.39917 F2: 0.35836 Total predictions: 12000 True positives: 671 False positives: 691 False negatives: 1329 True negatives: 9309 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.81700 Precision: 0.43351 Recall: 0.31950 F1: 0.36788 F2: 0.33724 Total predictions: 12000 True positives: 639 False positives: 835 False negatives: 1361 True negatives: 9165 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'restricted_stock'] Accuracy: 0.84807 Precision: 0.45906 Recall: 0.35600 F1: 0.40101 F2: 0.37274 Total predictions: 14000 True positives: 712 False positives: 839 False negatives: 1288 True negatives: 11161 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'salary'] Accuracy: 0.84046 Precision: 0.47431 Recall: 0.34150 F1: 0.39709 F2: 0.36176 Total predictions: 13000 True positives: 683 False positives: 757 False negatives: 1317 True negatives: 10243 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'total_payments'] Accuracy: 0.84843 Precision: 0.44891 Recall: 0.26800 F1: 0.33563 F2: 0.29149 Total predictions: 14000 True positives: 536 False positives: 658 False negatives: 1464 True negatives: 11342 ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'exercised_stock_options'] Accuracy: 0.86036 Precision: 0.51473 Recall: 0.39300 F1: 0.44570 F2: 0.41251 Total predictions: 14000 True positives: 786 False positives: 741 False negatives: 1214 True negatives: 11259 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'director_fees'] Accuracy: 0.32645 Precision: 0.20439 Recall: 0.93500 F1: 0.33546 F2: 0.54522 Total predictions: 11000 True positives: 1870 False positives: 7279 False negatives: 130 True negatives: 1721 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'resto_dirfees'] Accuracy: 0.21109 Precision: 0.18029 Recall: 0.94150 F1: 0.30264 F2: 0.51046 Total predictions: 11000 True positives: 1883 False positives: 8561 False negatives: 117 True negatives: 439 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'bonus'] Accuracy: 0.81255 Precision: 0.46925 Recall: 0.23650 F1: 0.31449 F2: 0.26254 Total predictions: 11000 True positives: 473 False positives: 535 False negatives: 1527 True negatives: 8465 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'total_stock_value'] Accuracy: 0.85014 Precision: 0.46237 Recall: 0.30100 F1: 0.36463 F2: 0.32359 Total predictions: 14000 True positives: 602 False positives: 700 False negatives: 1398 True negatives: 11300 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'from_poi_to_this_person'] Accuracy: 0.81725 Precision: 0.40302 Recall: 0.20050 F1: 0.26778 F2: 0.22290 Total predictions: 12000 True positives: 401 False positives: 594 False negatives: 1599 True negatives: 9406 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'from_this_person_to_poi'] Accuracy: 0.80483 Precision: 0.34894 Recall: 0.19750 F1: 0.25223 F2: 0.21627 Total predictions: 12000 True positives: 395 False positives: 737 False negatives: 1605 True negatives: 9263 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'restricted_stock'] Accuracy: 0.83677 Precision: 0.44414 Recall: 0.24250 F1: 0.31371 F2: 0.26672 Total predictions: 13000 True positives: 485 False positives: 607 False negatives: 1515 True negatives: 10393 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'salary'] Accuracy: 0.82745 Precision: 0.55020 Recall: 0.27950 F1: 0.37069 F2: 0.31000 Total predictions: 11000 True positives: 559 False positives: 457 False negatives: 1441 True negatives: 8543 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'total_payments'] Accuracy: 0.82631 Precision: 0.35948 Recall: 0.16500 F1: 0.22618 F2: 0.18502 Total predictions: 13000 True positives: 330 False positives: 588 False negatives: 1670 True negatives: 10412 ['poi', 'deferred_income', 'long_term_incentive', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'other', 'exercised_stock_options'] Accuracy: 0.85779 Precision: 0.50368 Recall: 0.30800 F1: 0.38225 F2: 0.33395 Total predictions: 14000 True positives: 616 False positives: 607 False negatives: 1384 True negatives: 11393 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'resto_dirfees'] Accuracy: 0.36270 Precision: 0.23886 Recall: 1.00000 F1: 0.38562 F2: 0.61076 Total predictions: 10000 True positives: 2000 False positives: 6373 False negatives: 0 True negatives: 1627 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'bonus'] Accuracy: 0.32591 Precision: 0.21243 Recall: 1.00000 F1: 0.35042 F2: 0.57422 Total predictions: 11000 True positives: 2000 False positives: 7415 False negatives: 0 True negatives: 1585 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'total_stock_value'] Accuracy: 0.38507 Precision: 0.16598 Recall: 0.82100 F1: 0.27613 F2: 0.45884 Total predictions: 14000 True positives: 1642 False positives: 8251 False negatives: 358 True negatives: 3749 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29783 Precision: 0.19183 Recall: 1.00000 F1: 0.32191 F2: 0.54271 Total predictions: 12000 True positives: 2000 False positives: 8426 False negatives: 0 True negatives: 1574 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30242 Precision: 0.18476 Recall: 0.93350 F1: 0.30847 F2: 0.51560 Total predictions: 12000 True positives: 1867 False positives: 8238 False negatives: 133 True negatives: 1762 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'restricted_stock'] Accuracy: 0.27662 Precision: 0.17446 Recall: 0.99200 F1: 0.29674 F2: 0.51208 Total predictions: 13000 True positives: 1984 False positives: 9388 False negatives: 16 True negatives: 1612 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'salary'] Accuracy: 0.30500 Precision: 0.19295 Recall: 0.99600 F1: 0.32327 F2: 0.54355 Total predictions: 12000 True positives: 1992 False positives: 8332 False negatives: 8 True negatives: 1668 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'total_payments'] Accuracy: 0.72154 Precision: 0.24005 Recall: 0.37400 F1: 0.29242 F2: 0.33645 Total predictions: 13000 True positives: 748 False positives: 2368 False negatives: 1252 True negatives: 8632 ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'director_fees', 'exercised_stock_options'] Accuracy: 0.29100 Precision: 0.17494 Recall: 0.97100 F1: 0.29647 F2: 0.50835 Total predictions: 13000 True positives: 1942 False positives: 9159 False negatives: 58 True negatives: 1841 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'bonus'] Accuracy: 0.21882 Precision: 0.18880 Recall: 1.00000 F1: 0.31764 F2: 0.53784 Total predictions: 11000 True positives: 2000 False positives: 8593 False negatives: 0 True negatives: 407 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22786 Precision: 0.15023 Recall: 0.94600 F1: 0.25928 F2: 0.45936 Total predictions: 14000 True positives: 1892 False positives: 10702 False negatives: 108 True negatives: 1298 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19967 Precision: 0.17235 Recall: 1.00000 F1: 0.29403 F2: 0.51010 Total predictions: 12000 True positives: 2000 False positives: 9604 False negatives: 0 True negatives: 396 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20673 Precision: 0.17892 Recall: 0.93700 F1: 0.30046 F2: 0.50720 Total predictions: 11000 True positives: 1874 False positives: 8600 False negatives: 126 True negatives: 400 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18769 Precision: 0.15837 Recall: 0.99200 F1: 0.27313 F2: 0.48324 Total predictions: 13000 True positives: 1984 False positives: 10544 False negatives: 16 True negatives: 456 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'salary'] Accuracy: 0.21409 Precision: 0.18670 Recall: 0.99000 F1: 0.31416 F2: 0.53212 Total predictions: 11000 True positives: 1980 False positives: 8625 False negatives: 20 True negatives: 375 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'total_payments'] Accuracy: 0.23238 Precision: 0.15275 Recall: 0.87750 F1: 0.26021 F2: 0.45025 Total predictions: 13000 True positives: 1755 False positives: 9734 False negatives: 245 True negatives: 1266 ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23185 Precision: 0.16161 Recall: 0.95350 F1: 0.27638 F2: 0.48157 Total predictions: 13000 True positives: 1907 False positives: 9893 False negatives: 93 True negatives: 1107 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'total_stock_value'] Accuracy: 0.85307 Precision: 0.48121 Recall: 0.36500 F1: 0.41513 F2: 0.38352 Total predictions: 14000 True positives: 730 False positives: 787 False negatives: 1270 True negatives: 11213 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.84975 Precision: 0.57677 Recall: 0.37000 F1: 0.45081 F2: 0.39858 Total predictions: 12000 True positives: 740 False positives: 543 False negatives: 1260 True negatives: 9457 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.83050 Precision: 0.48811 Recall: 0.34900 F1: 0.40700 F2: 0.37010 Total predictions: 12000 True positives: 698 False positives: 732 False negatives: 1302 True negatives: 9268 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'restricted_stock'] Accuracy: 0.84723 Precision: 0.50496 Recall: 0.35600 F1: 0.41760 F2: 0.37832 Total predictions: 13000 True positives: 712 False positives: 698 False negatives: 1288 True negatives: 10302 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'salary'] Accuracy: 0.83473 Precision: 0.57558 Recall: 0.34650 F1: 0.43258 F2: 0.37647 Total predictions: 11000 True positives: 693 False positives: 511 False negatives: 1307 True negatives: 8489 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'total_payments'] Accuracy: 0.83662 Precision: 0.43812 Recall: 0.21950 F1: 0.29247 F2: 0.24383 Total predictions: 13000 True positives: 439 False positives: 563 False negatives: 1561 True negatives: 10437 ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'exercised_stock_options'] Accuracy: 0.85664 Precision: 0.49761 Recall: 0.36500 F1: 0.42111 F2: 0.38555 Total predictions: 14000 True positives: 730 False positives: 737 False negatives: 1270 True negatives: 11263 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85721 Precision: 0.50032 Recall: 0.39250 F1: 0.43990 F2: 0.41018 Total predictions: 14000 True positives: 785 False positives: 784 False negatives: 1215 True negatives: 11216 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86193 Precision: 0.52223 Recall: 0.39350 F1: 0.44882 F2: 0.41391 Total predictions: 14000 True positives: 787 False positives: 720 False negatives: 1213 True negatives: 11280 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86050 Precision: 0.51642 Recall: 0.36950 F1: 0.43078 F2: 0.39179 Total predictions: 14000 True positives: 739 False positives: 692 False negatives: 1261 True negatives: 11308 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'salary'] Accuracy: 0.85914 Precision: 0.50916 Recall: 0.38900 F1: 0.44104 F2: 0.40827 Total predictions: 14000 True positives: 778 False positives: 750 False negatives: 1222 True negatives: 11250 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'total_payments'] Accuracy: 0.84887 Precision: 0.41130 Recall: 0.30950 F1: 0.35321 F2: 0.32562 Total predictions: 15000 True positives: 619 False positives: 886 False negatives: 1381 True negatives: 12114 ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85693 Precision: 0.49907 Recall: 0.40400 F1: 0.44653 F2: 0.42000 Total predictions: 14000 True positives: 808 False positives: 811 False negatives: 1192 True negatives: 11189 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.81592 Precision: 0.41284 Recall: 0.24750 F1: 0.30947 F2: 0.26905 Total predictions: 12000 True positives: 495 False positives: 704 False negatives: 1505 True negatives: 9296 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84677 Precision: 0.50283 Recall: 0.35550 F1: 0.41652 F2: 0.37763 Total predictions: 13000 True positives: 711 False positives: 703 False negatives: 1289 True negatives: 10297 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83217 Precision: 0.49488 Recall: 0.33850 F1: 0.40202 F2: 0.36134 Total predictions: 12000 True positives: 677 False positives: 691 False negatives: 1323 True negatives: 9309 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84736 Precision: 0.43652 Recall: 0.23550 F1: 0.30594 F2: 0.25939 Total predictions: 14000 True positives: 471 False positives: 608 False negatives: 1529 True negatives: 11392 ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86186 Precision: 0.52317 Recall: 0.37250 F1: 0.43516 F2: 0.39527 Total predictions: 14000 True positives: 745 False positives: 679 False negatives: 1255 True negatives: 11321 ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.82846 Precision: 0.42884 Recall: 0.34650 F1: 0.38330 F2: 0.36034 Total predictions: 13000 True positives: 693 False positives: 923 False negatives: 1307 True negatives: 10077 ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83975 Precision: 0.52893 Recall: 0.35200 F1: 0.42270 F2: 0.37724 Total predictions: 12000 True positives: 704 False positives: 627 False negatives: 1296 True negatives: 9373 ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84136 Precision: 0.40515 Recall: 0.23600 F1: 0.29826 F2: 0.25750 Total predictions: 14000 True positives: 472 False positives: 693 False negatives: 1528 True negatives: 11307 ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.85757 Precision: 0.50208 Recall: 0.36200 F1: 0.42069 F2: 0.38339 Total predictions: 14000 True positives: 724 False positives: 718 False negatives: 1276 True negatives: 11282 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'salary'] Accuracy: 0.84685 Precision: 0.50323 Recall: 0.35050 F1: 0.41320 F2: 0.37315 Total predictions: 13000 True positives: 701 False positives: 692 False negatives: 1299 True negatives: 10308 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'total_payments'] Accuracy: 0.82900 Precision: 0.35493 Recall: 0.24100 F1: 0.28708 F2: 0.25753 Total predictions: 14000 True positives: 482 False positives: 876 False negatives: 1518 True negatives: 11124 ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85457 Precision: 0.48811 Recall: 0.36950 F1: 0.42060 F2: 0.38838 Total predictions: 14000 True positives: 739 False positives: 775 False negatives: 1261 True negatives: 11225 ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'total_payments'] Accuracy: 0.83569 Precision: 0.43200 Recall: 0.21600 F1: 0.28800 F2: 0.24000 Total predictions: 13000 True positives: 432 False positives: 568 False negatives: 1568 True negatives: 10432 ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'exercised_stock_options'] Accuracy: 0.87021 Precision: 0.56448 Recall: 0.40050 F1: 0.46856 F2: 0.42520 Total predictions: 14000 True positives: 801 False positives: 618 False negatives: 1199 True negatives: 11382 ['poi', 'deferred_income', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'long_term_incentive', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84221 Precision: 0.42498 Recall: 0.29600 F1: 0.34895 F2: 0.31513 Total predictions: 14000 True positives: 592 False positives: 801 False negatives: 1408 True negatives: 11199 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.33642 Precision: 0.19260 Recall: 0.93400 F1: 0.31934 F2: 0.52771 Total predictions: 12000 True positives: 1868 False positives: 7831 False negatives: 132 True negatives: 2169 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.27938 Precision: 0.16989 Recall: 0.94800 F1: 0.28815 F2: 0.49478 Total predictions: 13000 True positives: 1896 False positives: 9264 False negatives: 104 True negatives: 1736 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.40708 Precision: 0.21942 Recall: 1.00000 F1: 0.35987 F2: 0.58428 Total predictions: 12000 True positives: 2000 False positives: 7115 False negatives: 0 True negatives: 2885 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.31358 Precision: 0.19537 Recall: 1.00000 F1: 0.32688 F2: 0.54834 Total predictions: 12000 True positives: 2000 False positives: 8237 False negatives: 0 True negatives: 1763 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.28131 Precision: 0.17632 Recall: 1.00000 F1: 0.29978 F2: 0.51698 Total predictions: 13000 True positives: 2000 False positives: 9343 False negatives: 0 True negatives: 1657 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26457 Precision: 0.16265 Recall: 1.00000 F1: 0.27980 F2: 0.49271 Total predictions: 14000 True positives: 2000 False positives: 10296 False negatives: 0 True negatives: 1704 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.31358 Precision: 0.19537 Recall: 1.00000 F1: 0.32688 F2: 0.54834 Total predictions: 12000 True positives: 2000 False positives: 8237 False negatives: 0 True negatives: 1763 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.30667 Precision: 0.18632 Recall: 0.93850 F1: 0.31092 F2: 0.51925 Total predictions: 12000 True positives: 1877 False positives: 8197 False negatives: 123 True negatives: 1803 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.28238 Precision: 0.17591 Recall: 0.99450 F1: 0.29894 F2: 0.51510 Total predictions: 13000 True positives: 1989 False positives: 9318 False negatives: 11 True negatives: 1682 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.28138 Precision: 0.17565 Recall: 0.99400 F1: 0.29854 F2: 0.51455 Total predictions: 13000 True positives: 1988 False positives: 9330 False negatives: 12 True negatives: 1670 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.25343 Precision: 0.15406 Recall: 0.94100 F1: 0.26477 F2: 0.46547 Total predictions: 14000 True positives: 1882 False positives: 10334 False negatives: 118 True negatives: 1666 ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.26443 Precision: 0.16263 Recall: 1.00000 F1: 0.27976 F2: 0.49266 Total predictions: 14000 True positives: 2000 False positives: 10298 False negatives: 0 True negatives: 1702 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.29923 Precision: 0.16670 Recall: 0.88900 F1: 0.28075 F2: 0.47627 Total predictions: 13000 True positives: 1778 False positives: 8888 False negatives: 222 True negatives: 2112 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.41908 Precision: 0.21316 Recall: 0.92350 F1: 0.34637 F2: 0.55416 Total predictions: 12000 True positives: 1847 False positives: 6818 False negatives: 153 True negatives: 3182 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.33067 Precision: 0.19168 Recall: 0.93750 F1: 0.31828 F2: 0.52722 Total predictions: 12000 True positives: 1875 False positives: 7907 False negatives: 125 True negatives: 2093 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.30000 Precision: 0.17160 Recall: 0.92750 F1: 0.28962 F2: 0.49309 Total predictions: 13000 True positives: 1855 False positives: 8955 False negatives: 145 True negatives: 2045 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.28364 Precision: 0.16005 Recall: 0.94500 F1: 0.27373 F2: 0.47706 Total predictions: 14000 True positives: 1890 False positives: 9919 False negatives: 110 True negatives: 2081 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.33658 Precision: 0.19264 Recall: 0.93400 F1: 0.31940 F2: 0.52777 Total predictions: 12000 True positives: 1868 False positives: 7829 False negatives: 132 True negatives: 2171 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.33000 Precision: 0.19108 Recall: 0.93400 F1: 0.31726 F2: 0.52543 Total predictions: 12000 True positives: 1868 False positives: 7908 False negatives: 132 True negatives: 2092 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.30331 Precision: 0.17380 Recall: 0.94000 F1: 0.29336 F2: 0.49955 Total predictions: 13000 True positives: 1880 False positives: 8937 False negatives: 120 True negatives: 2063 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.30285 Precision: 0.17334 Recall: 0.93700 F1: 0.29256 F2: 0.49811 Total predictions: 13000 True positives: 1874 False positives: 8937 False negatives: 126 True negatives: 2063 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26900 Precision: 0.15039 Recall: 0.88550 F1: 0.25711 F2: 0.44776 Total predictions: 14000 True positives: 1771 False positives: 10005 False negatives: 229 True negatives: 1995 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.28543 Precision: 0.16096 Recall: 0.95000 F1: 0.27528 F2: 0.47970 Total predictions: 14000 True positives: 1900 False positives: 9904 False negatives: 100 True negatives: 2096 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.43936 Precision: 0.23750 Recall: 0.94250 F1: 0.37939 F2: 0.59139 Total predictions: 11000 True positives: 1885 False positives: 6052 False negatives: 115 True negatives: 2948 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.33173 Precision: 0.20731 Recall: 0.94750 F1: 0.34018 F2: 0.55277 Total predictions: 11000 True positives: 1895 False positives: 7246 False negatives: 105 True negatives: 1754 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.31608 Precision: 0.18875 Recall: 0.94100 F1: 0.31443 F2: 0.52362 Total predictions: 12000 True positives: 1882 False positives: 8089 False negatives: 118 True negatives: 1911 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.26229 Precision: 0.15610 Recall: 0.94500 F1: 0.26793 F2: 0.46996 Total predictions: 14000 True positives: 1890 False positives: 10218 False negatives: 110 True negatives: 1782 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.28585 Precision: 0.16957 Recall: 0.93450 F1: 0.28705 F2: 0.49127 Total predictions: 13000 True positives: 1869 False positives: 9153 False negatives: 131 True negatives: 1847 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.29317 Precision: 0.17764 Recall: 0.89300 F1: 0.29633 F2: 0.49463 Total predictions: 12000 True positives: 1786 False positives: 8268 False negatives: 214 True negatives: 1732 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.27662 Precision: 0.16887 Recall: 0.94400 F1: 0.28649 F2: 0.49218 Total predictions: 13000 True positives: 1888 False positives: 9292 False negatives: 112 True negatives: 1708 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.30417 Precision: 0.18539 Recall: 0.93550 F1: 0.30946 F2: 0.51708 Total predictions: 12000 True positives: 1871 False positives: 8221 False negatives: 129 True negatives: 1779 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.28185 Precision: 0.16919 Recall: 0.93800 F1: 0.28667 F2: 0.49141 Total predictions: 13000 True positives: 1876 False positives: 9212 False negatives: 124 True negatives: 1788 ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.26057 Precision: 0.15624 Recall: 0.94900 F1: 0.26831 F2: 0.47101 Total predictions: 14000 True positives: 1898 False positives: 10250 False negatives: 102 True negatives: 1750 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.70733 Precision: 0.36284 Recall: 1.00000 F1: 0.53248 F2: 0.74008 Total predictions: 6000 True positives: 1000 False positives: 1756 False negatives: 0 True negatives: 3244 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.44945 Precision: 0.24826 Recall: 1.00000 F1: 0.39777 F2: 0.62282 Total predictions: 11000 True positives: 2000 False positives: 6056 False negatives: 0 True negatives: 2944 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.34543 Precision: 0.17915 Recall: 1.00000 F1: 0.30386 F2: 0.52181 Total predictions: 14000 True positives: 2000 False positives: 9164 False negatives: 0 True negatives: 2836 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.44455 Precision: 0.24661 Recall: 1.00000 F1: 0.39565 F2: 0.62073 Total predictions: 11000 True positives: 2000 False positives: 6110 False negatives: 0 True negatives: 2890 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.39880 Precision: 0.13576 Recall: 0.93400 F1: 0.23706 F2: 0.42923 Total predictions: 10000 True positives: 934 False positives: 5946 False negatives: 66 True negatives: 3054 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.38469 Precision: 0.19936 Recall: 0.99450 F1: 0.33214 F2: 0.55321 Total predictions: 13000 True positives: 1989 False positives: 7988 False negatives: 11 True negatives: 3012 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.41458 Precision: 0.22062 Recall: 0.99200 F1: 0.36096 F2: 0.58377 Total predictions: 12000 True positives: 1984 False positives: 7009 False negatives: 16 True negatives: 2991 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36323 Precision: 0.18859 Recall: 0.95050 F1: 0.31474 F2: 0.52572 Total predictions: 13000 True positives: 1901 False positives: 8179 False negatives: 99 True negatives: 2821 ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.38077 Precision: 0.19900 Recall: 1.00000 F1: 0.33195 F2: 0.55402 Total predictions: 13000 True positives: 2000 False positives: 8050 False negatives: 0 True negatives: 2950 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.34491 Precision: 0.21725 Recall: 1.00000 F1: 0.35695 F2: 0.58119 Total predictions: 11000 True positives: 2000 False positives: 7206 False negatives: 0 True negatives: 1794 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26650 Precision: 0.16301 Recall: 1.00000 F1: 0.28033 F2: 0.49336 Total predictions: 14000 True positives: 2000 False positives: 10269 False negatives: 0 True negatives: 1731 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.33809 Precision: 0.21549 Recall: 1.00000 F1: 0.35458 F2: 0.57867 Total predictions: 11000 True positives: 2000 False positives: 7281 False negatives: 0 True negatives: 1719 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.34710 Precision: 0.22687 Recall: 0.94050 F1: 0.36556 F2: 0.57731 Total predictions: 10000 True positives: 1881 False positives: 6410 False negatives: 119 True negatives: 1590 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30708 Precision: 0.19336 Recall: 0.99550 F1: 0.32382 F2: 0.54408 Total predictions: 12000 True positives: 1991 False positives: 8306 False negatives: 9 True negatives: 1694 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.30842 Precision: 0.19384 Recall: 0.99700 F1: 0.32457 F2: 0.54520 Total predictions: 12000 True positives: 1994 False positives: 8293 False negatives: 6 True negatives: 1707 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27546 Precision: 0.16941 Recall: 0.95050 F1: 0.28757 F2: 0.49451 Total predictions: 13000 True positives: 1901 False positives: 9320 False negatives: 99 True negatives: 1680 ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.28808 Precision: 0.17770 Recall: 1.00000 F1: 0.30177 F2: 0.51935 Total predictions: 13000 True positives: 2000 False positives: 9255 False negatives: 0 True negatives: 1745 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.26121 Precision: 0.16204 Recall: 1.00000 F1: 0.27888 F2: 0.49157 Total predictions: 14000 True positives: 2000 False positives: 10343 False negatives: 0 True negatives: 1657 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.30417 Precision: 0.19324 Recall: 1.00000 F1: 0.32389 F2: 0.54496 Total predictions: 12000 True positives: 2000 False positives: 8350 False negatives: 0 True negatives: 1650 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30367 Precision: 0.18572 Recall: 0.93900 F1: 0.31011 F2: 0.51844 Total predictions: 12000 True positives: 1878 False positives: 8234 False negatives: 122 True negatives: 1766 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.28531 Precision: 0.17633 Recall: 0.99300 F1: 0.29948 F2: 0.51550 Total predictions: 13000 True positives: 1986 False positives: 9277 False negatives: 14 True negatives: 1723 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.30842 Precision: 0.19384 Recall: 0.99700 F1: 0.32457 F2: 0.54520 Total predictions: 12000 True positives: 1994 False positives: 8293 False negatives: 6 True negatives: 1707 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.27854 Precision: 0.16943 Recall: 0.94550 F1: 0.28736 F2: 0.49345 Total predictions: 13000 True positives: 1891 False positives: 9270 False negatives: 109 True negatives: 1730 ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.26614 Precision: 0.16295 Recall: 1.00000 F1: 0.28023 F2: 0.49324 Total predictions: 14000 True positives: 2000 False positives: 10274 False negatives: 0 True negatives: 1726 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26457 Precision: 0.16265 Recall: 1.00000 F1: 0.27980 F2: 0.49271 Total predictions: 14000 True positives: 2000 False positives: 10296 False negatives: 0 True negatives: 1704 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.25957 Precision: 0.16173 Recall: 1.00000 F1: 0.27844 F2: 0.49101 Total predictions: 14000 True positives: 2000 False positives: 10366 False negatives: 0 True negatives: 1634 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.26650 Precision: 0.16301 Recall: 1.00000 F1: 0.28033 F2: 0.49336 Total predictions: 14000 True positives: 2000 False positives: 10269 False negatives: 0 True negatives: 1731 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.26771 Precision: 0.16324 Recall: 1.00000 F1: 0.28066 F2: 0.49378 Total predictions: 14000 True positives: 2000 False positives: 10252 False negatives: 0 True negatives: 1748 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.28593 Precision: 0.14713 Recall: 0.90800 F1: 0.25322 F2: 0.44635 Total predictions: 15000 True positives: 1816 False positives: 10527 False negatives: 184 True negatives: 2473 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.26693 Precision: 0.16304 Recall: 0.99950 F1: 0.28034 F2: 0.49331 Total predictions: 14000 True positives: 1999 False positives: 10262 False negatives: 1 True negatives: 1738 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.31782 Precision: 0.20113 Recall: 0.92600 F1: 0.33048 F2: 0.53812 Total predictions: 11000 True positives: 1852 False positives: 7356 False negatives: 148 True negatives: 1644 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27915 Precision: 0.17497 Recall: 0.99200 F1: 0.29747 F2: 0.51295 Total predictions: 13000 True positives: 1984 False positives: 9355 False negatives: 16 True negatives: 1645 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28523 Precision: 0.17585 Recall: 0.98900 F1: 0.29861 F2: 0.51382 Total predictions: 13000 True positives: 1978 False positives: 9270 False negatives: 22 True negatives: 1730 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25979 Precision: 0.15644 Recall: 0.95200 F1: 0.26872 F2: 0.47196 Total predictions: 14000 True positives: 1904 False positives: 10267 False negatives: 96 True negatives: 1733 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26500 Precision: 0.16273 Recall: 1.00000 F1: 0.27992 F2: 0.49285 Total predictions: 14000 True positives: 2000 False positives: 10290 False negatives: 0 True negatives: 1710 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.27654 Precision: 0.16701 Recall: 0.92850 F1: 0.28310 F2: 0.48564 Total predictions: 13000 True positives: 1857 False positives: 9262 False negatives: 143 True negatives: 1738 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28354 Precision: 0.16929 Recall: 0.93600 F1: 0.28672 F2: 0.49113 Total predictions: 13000 True positives: 1872 False positives: 9186 False negatives: 128 True negatives: 1814 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25964 Precision: 0.15562 Recall: 0.94500 F1: 0.26723 F2: 0.46910 Total predictions: 14000 True positives: 1890 False positives: 10255 False negatives: 110 True negatives: 1745 ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27071 Precision: 0.16380 Recall: 1.00000 F1: 0.28149 F2: 0.49480 Total predictions: 14000 True positives: 2000 False positives: 10210 False negatives: 0 True negatives: 1790 ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.28400 Precision: 0.17618 Recall: 0.99400 F1: 0.29931 F2: 0.51545 Total predictions: 13000 True positives: 1988 False positives: 9296 False negatives: 12 True negatives: 1704 ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.26671 Precision: 0.15564 Recall: 0.93400 F1: 0.26682 F2: 0.46695 Total predictions: 14000 True positives: 1868 False positives: 10134 False negatives: 132 True negatives: 1866 ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26650 Precision: 0.16301 Recall: 1.00000 F1: 0.28033 F2: 0.49336 Total predictions: 14000 True positives: 2000 False positives: 10269 False negatives: 0 True negatives: 1731 ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.27677 Precision: 0.16908 Recall: 0.94550 F1: 0.28686 F2: 0.49286 Total predictions: 13000 True positives: 1891 False positives: 9293 False negatives: 109 True negatives: 1707 ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.26514 Precision: 0.16276 Recall: 1.00000 F1: 0.27996 F2: 0.49290 Total predictions: 14000 True positives: 2000 False positives: 10288 False negatives: 0 True negatives: 1712 ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.29673 Precision: 0.14793 Recall: 0.89800 F1: 0.25401 F2: 0.44586 Total predictions: 15000 True positives: 1796 False positives: 10345 False negatives: 204 True negatives: 2655 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.82038 Precision: 0.32497 Recall: 0.15550 F1: 0.21035 F2: 0.17361 Total predictions: 13000 True positives: 311 False positives: 646 False negatives: 1689 True negatives: 10354 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.33233 Precision: 0.19157 Recall: 0.93350 F1: 0.31790 F2: 0.52603 Total predictions: 12000 True positives: 1867 False positives: 7879 False negatives: 133 True negatives: 2121 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.24082 Precision: 0.18469 Recall: 0.93000 F1: 0.30818 F2: 0.51464 Total predictions: 11000 True positives: 1860 False positives: 8211 False negatives: 140 True negatives: 789 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.83942 Precision: 0.52836 Recall: 0.34000 F1: 0.41375 F2: 0.36610 Total predictions: 12000 True positives: 680 False positives: 607 False negatives: 1320 True negatives: 9393 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.85143 Precision: 0.47368 Recall: 0.36000 F1: 0.40909 F2: 0.37815 Total predictions: 14000 True positives: 720 False positives: 800 False negatives: 1280 True negatives: 11200 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.79436 Precision: 0.37711 Recall: 0.20100 F1: 0.26223 F2: 0.22171 Total predictions: 11000 True positives: 402 False positives: 664 False negatives: 1598 True negatives: 8336 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.78200 Precision: 0.33689 Recall: 0.20550 F1: 0.25528 F2: 0.22289 Total predictions: 11000 True positives: 411 False positives: 809 False negatives: 1589 True negatives: 8191 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.83285 Precision: 0.43501 Recall: 0.28950 F1: 0.34764 F2: 0.31026 Total predictions: 13000 True positives: 579 False positives: 752 False negatives: 1421 True negatives: 10248 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.84762 Precision: 0.50700 Recall: 0.34400 F1: 0.40989 F2: 0.36764 Total predictions: 13000 True positives: 688 False positives: 669 False negatives: 1312 True negatives: 10331 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.84621 Precision: 0.41621 Recall: 0.19000 F1: 0.26090 F2: 0.21317 Total predictions: 14000 True positives: 380 False positives: 533 False negatives: 1620 True negatives: 11467 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.86121 Precision: 0.51948 Recall: 0.38000 F1: 0.43893 F2: 0.40156 Total predictions: 14000 True positives: 760 False positives: 703 False negatives: 1240 True negatives: 11297 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.27508 Precision: 0.16828 Recall: 0.94150 F1: 0.28552 F2: 0.49062 Total predictions: 13000 True positives: 1883 False positives: 9307 False negatives: 117 True negatives: 1693 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.17862 Precision: 0.15171 Recall: 0.94500 F1: 0.26145 F2: 0.46192 Total predictions: 13000 True positives: 1890 False positives: 10568 False negatives: 110 True negatives: 432 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.82746 Precision: 0.38592 Recall: 0.20550 F1: 0.26819 F2: 0.22670 Total predictions: 13000 True positives: 411 False positives: 654 False negatives: 1589 True negatives: 10346 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.85973 Precision: 0.45752 Recall: 0.28000 F1: 0.34739 F2: 0.30356 Total predictions: 15000 True positives: 560 False positives: 664 False negatives: 1440 True negatives: 12336 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.81485 Precision: 0.29507 Recall: 0.14650 F1: 0.19579 F2: 0.16290 Total predictions: 13000 True positives: 293 False positives: 700 False negatives: 1707 True negatives: 10300 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.80985 Precision: 0.27395 Recall: 0.14300 F1: 0.18791 F2: 0.15812 Total predictions: 13000 True positives: 286 False positives: 758 False negatives: 1714 True negatives: 10242 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.83800 Precision: 0.38547 Recall: 0.22550 F1: 0.28454 F2: 0.24591 Total predictions: 14000 True positives: 451 False positives: 719 False negatives: 1549 True negatives: 11281 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.83415 Precision: 0.42500 Recall: 0.22100 F1: 0.29079 F2: 0.24447 Total predictions: 13000 True positives: 442 False positives: 598 False negatives: 1558 True negatives: 10402 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.83600 Precision: 0.34742 Recall: 0.16850 F1: 0.22694 F2: 0.18785 Total predictions: 14000 True positives: 337 False positives: 633 False negatives: 1663 True negatives: 11367 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.85686 Precision: 0.49825 Recall: 0.28550 F1: 0.36300 F2: 0.31216 Total predictions: 14000 True positives: 571 False positives: 575 False negatives: 1429 True negatives: 11425 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.30617 Precision: 0.19369 Recall: 1.00000 F1: 0.32452 F2: 0.54567 Total predictions: 12000 True positives: 2000 False positives: 8326 False negatives: 0 True negatives: 1674 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.28531 Precision: 0.17713 Recall: 1.00000 F1: 0.30096 F2: 0.51838 Total predictions: 13000 True positives: 2000 False positives: 9291 False negatives: 0 True negatives: 1709 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.31947 Precision: 0.15651 Recall: 0.93500 F1: 0.26814 F2: 0.46872 Total predictions: 15000 True positives: 1870 False positives: 10078 False negatives: 130 True negatives: 2922 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.30633 Precision: 0.19372 Recall: 1.00000 F1: 0.32457 F2: 0.54573 Total predictions: 12000 True positives: 2000 False positives: 8324 False negatives: 0 True negatives: 1676 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.30325 Precision: 0.18519 Recall: 0.93550 F1: 0.30918 F2: 0.51677 Total predictions: 12000 True positives: 1871 False positives: 8232 False negatives: 129 True negatives: 1768 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.26021 Precision: 0.16130 Recall: 0.99500 F1: 0.27760 F2: 0.48926 Total predictions: 14000 True positives: 1990 False positives: 10347 False negatives: 10 True negatives: 1653 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.27708 Precision: 0.17444 Recall: 0.99100 F1: 0.29666 F2: 0.51183 Total predictions: 13000 True positives: 1982 False positives: 9380 False negatives: 18 True negatives: 1620 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.68243 Precision: 0.21924 Recall: 0.47750 F1: 0.30050 F2: 0.38645 Total predictions: 14000 True positives: 955 False positives: 3401 False negatives: 1045 True negatives: 8599 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.31336 Precision: 0.16811 Recall: 0.96400 F1: 0.28629 F2: 0.49515 Total predictions: 14000 True positives: 1928 False positives: 9541 False negatives: 72 True negatives: 2459 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.19658 Precision: 0.17181 Recall: 1.00000 F1: 0.29323 F2: 0.50914 Total predictions: 12000 True positives: 2000 False positives: 9641 False negatives: 0 True negatives: 359 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22907 Precision: 0.15082 Recall: 0.94950 F1: 0.26030 F2: 0.46112 Total predictions: 14000 True positives: 1899 False positives: 10692 False negatives: 101 True negatives: 1308 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21545 Precision: 0.18815 Recall: 1.00000 F1: 0.31671 F2: 0.53677 Total predictions: 11000 True positives: 2000 False positives: 8630 False negatives: 0 True negatives: 370 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20709 Precision: 0.17862 Recall: 0.93400 F1: 0.29989 F2: 0.50601 Total predictions: 11000 True positives: 1868 False positives: 8590 False negatives: 132 True negatives: 410 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18492 Precision: 0.15813 Recall: 0.99400 F1: 0.27285 F2: 0.48318 Total predictions: 13000 True positives: 1988 False positives: 10584 False negatives: 12 True negatives: 416 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.18423 Precision: 0.15780 Recall: 0.99200 F1: 0.27228 F2: 0.48219 Total predictions: 13000 True positives: 1984 False positives: 10589 False negatives: 16 True negatives: 411 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22700 Precision: 0.14283 Recall: 0.88200 F1: 0.24585 F2: 0.43342 Total predictions: 14000 True positives: 1764 False positives: 10586 False negatives: 236 True negatives: 1414 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22886 Precision: 0.15178 Recall: 0.95850 F1: 0.26206 F2: 0.46461 Total predictions: 14000 True positives: 1917 False positives: 10713 False negatives: 83 True negatives: 1287 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.84057 Precision: 0.42822 Recall: 0.34600 F1: 0.38274 F2: 0.35982 Total predictions: 14000 True positives: 692 False positives: 924 False negatives: 1308 True negatives: 11076 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.83783 Precision: 0.52090 Recall: 0.33650 F1: 0.40887 F2: 0.36214 Total predictions: 12000 True positives: 673 False positives: 619 False negatives: 1327 True negatives: 9381 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.82825 Precision: 0.47788 Recall: 0.32950 F1: 0.39006 F2: 0.35132 Total predictions: 12000 True positives: 659 False positives: 720 False negatives: 1341 True negatives: 9280 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.82369 Precision: 0.40470 Recall: 0.31000 F1: 0.35108 F2: 0.32522 Total predictions: 13000 True positives: 620 False positives: 912 False negatives: 1380 True negatives: 10088 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.84023 Precision: 0.46952 Recall: 0.29650 F1: 0.36347 F2: 0.32009 Total predictions: 13000 True positives: 593 False positives: 670 False negatives: 1407 True negatives: 10330 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.84400 Precision: 0.41529 Recall: 0.22550 F1: 0.29229 F2: 0.24818 Total predictions: 14000 True positives: 451 False positives: 635 False negatives: 1549 True negatives: 11365 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.84571 Precision: 0.44764 Recall: 0.34200 F1: 0.38776 F2: 0.35894 Total predictions: 14000 True positives: 684 False positives: 844 False negatives: 1316 True negatives: 11156 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84450 Precision: 0.44316 Recall: 0.34500 F1: 0.38797 F2: 0.36099 Total predictions: 14000 True positives: 690 False positives: 867 False negatives: 1310 True negatives: 11133 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84421 Precision: 0.44150 Recall: 0.34150 F1: 0.38511 F2: 0.35770 Total predictions: 14000 True positives: 683 False positives: 864 False negatives: 1317 True negatives: 11136 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84986 Precision: 0.46586 Recall: 0.34800 F1: 0.39840 F2: 0.36655 Total predictions: 14000 True positives: 696 False positives: 798 False negatives: 1304 True negatives: 11202 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.84900 Precision: 0.46245 Recall: 0.35100 F1: 0.39909 F2: 0.36877 Total predictions: 14000 True positives: 702 False positives: 816 False negatives: 1298 True negatives: 11184 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.85307 Precision: 0.42566 Recall: 0.29200 F1: 0.34638 F2: 0.31157 Total predictions: 15000 True positives: 584 False positives: 788 False negatives: 1416 True negatives: 12212 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.86057 Precision: 0.51630 Recall: 0.38000 F1: 0.43779 F2: 0.40118 Total predictions: 14000 True positives: 760 False positives: 712 False negatives: 1240 True negatives: 11288 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78382 Precision: 0.30793 Recall: 0.15150 F1: 0.20308 F2: 0.16863 Total predictions: 11000 True positives: 303 False positives: 681 False negatives: 1697 True negatives: 8319 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.81315 Precision: 0.35953 Recall: 0.27450 F1: 0.31131 F2: 0.28813 Total predictions: 13000 True positives: 549 False positives: 978 False negatives: 1451 True negatives: 10022 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.82554 Precision: 0.40629 Recall: 0.29050 F1: 0.33878 F2: 0.30806 Total predictions: 13000 True positives: 581 False positives: 849 False negatives: 1419 True negatives: 10151 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84721 Precision: 0.41928 Recall: 0.18050 F1: 0.25236 F2: 0.20370 Total predictions: 14000 True positives: 361 False positives: 500 False negatives: 1639 True negatives: 11500 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85800 Precision: 0.50412 Recall: 0.36750 F1: 0.42510 F2: 0.38856 Total predictions: 14000 True positives: 735 False positives: 723 False negatives: 1265 True negatives: 11277 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81515 Precision: 0.36283 Recall: 0.26650 F1: 0.30729 F2: 0.28144 Total predictions: 13000 True positives: 533 False positives: 936 False negatives: 1467 True negatives: 10064 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.82523 Precision: 0.40423 Recall: 0.28700 F1: 0.33567 F2: 0.30467 Total predictions: 13000 True positives: 574 False positives: 846 False negatives: 1426 True negatives: 10154 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84771 Precision: 0.42254 Recall: 0.18000 F1: 0.25245 F2: 0.20334 Total predictions: 14000 True positives: 360 False positives: 492 False negatives: 1640 True negatives: 11508 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86064 Precision: 0.51736 Recall: 0.36500 F1: 0.42803 F2: 0.38784 Total predictions: 14000 True positives: 730 False positives: 681 False negatives: 1270 True negatives: 11319 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.83414 Precision: 0.39937 Recall: 0.31950 F1: 0.35500 F2: 0.33281 Total predictions: 14000 True positives: 639 False positives: 961 False negatives: 1361 True negatives: 11039 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.84121 Precision: 0.40176 Recall: 0.22800 F1: 0.29091 F2: 0.24959 Total predictions: 14000 True positives: 456 False positives: 679 False negatives: 1544 True negatives: 11321 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85300 Precision: 0.48006 Recall: 0.34900 F1: 0.40417 F2: 0.36916 Total predictions: 14000 True positives: 698 False positives: 756 False negatives: 1302 True negatives: 11244 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.84864 Precision: 0.44126 Recall: 0.22350 F1: 0.29671 F2: 0.24798 Total predictions: 14000 True positives: 447 False positives: 566 False negatives: 1553 True negatives: 11434 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.85150 Precision: 0.47263 Recall: 0.34100 F1: 0.39617 F2: 0.36111 Total predictions: 14000 True positives: 682 False positives: 761 False negatives: 1318 True negatives: 11239 ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85413 Precision: 0.42724 Recall: 0.27600 F1: 0.33536 F2: 0.29703 Total predictions: 15000 True positives: 552 False positives: 740 False negatives: 1448 True negatives: 12260 ['poi', 'deferred_income', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'director_fees'] Accuracy: 0.31677 Precision: 0.16939 Recall: 0.88150 F1: 0.28417 F2: 0.47887 Total predictions: 13000 True positives: 1763 False positives: 8645 False negatives: 237 True negatives: 2355 ['poi', 'deferred_income', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.20208 Precision: 0.14905 Recall: 0.88900 F1: 0.25529 F2: 0.44608 Total predictions: 13000 True positives: 1778 False positives: 10151 False negatives: 222 True negatives: 849 ['poi', 'deferred_income', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'bonus'] Accuracy: 0.83254 Precision: 0.41264 Recall: 0.20900 F1: 0.27746 F2: 0.23189 Total predictions: 13000 True positives: 418 False positives: 595 False negatives: 1582 True negatives: 10405 ['poi', 'deferred_income', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.86007 Precision: 0.46172 Recall: 0.29850 F1: 0.36259 F2: 0.32121 Total predictions: 15000 True positives: 597 False positives: 696 False negatives: 1403 True negatives: 12304 ['poi', 'deferred_income', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.82231 Precision: 0.33405 Recall: 0.15600 F1: 0.21268 F2: 0.17461 Total predictions: 13000 True positives: 312 False positives: 622 False negatives: 1688 True negatives: 10378 ['poi', 'deferred_income', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.81592 Precision: 0.30867 Recall: 0.15850 F1: 0.20945 F2: 0.17558 Total predictions: 13000 True positives: 317 False positives: 710 False negatives: 1683 True negatives: 10290 ['poi', 'deferred_income', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.84143 Precision: 0.40501 Recall: 0.23450 F1: 0.29702 F2: 0.25606 Total predictions: 14000 True positives: 469 False positives: 689 False negatives: 1531 True negatives: 11311 ['poi', 'deferred_income', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'salary'] Accuracy: 0.83923 Precision: 0.46046 Recall: 0.26200 F1: 0.33397 F2: 0.28671 Total predictions: 13000 True positives: 524 False positives: 614 False negatives: 1476 True negatives: 10386 ['poi', 'deferred_income', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'total_payments'] Accuracy: 0.84086 Precision: 0.37473 Recall: 0.17050 F1: 0.23436 F2: 0.19136 Total predictions: 14000 True positives: 341 False positives: 569 False negatives: 1659 True negatives: 11431 ['poi', 'deferred_income', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.85514 Precision: 0.48869 Recall: 0.30250 F1: 0.37369 F2: 0.32745 Total predictions: 14000 True positives: 605 False positives: 633 False negatives: 1395 True negatives: 11367 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.32650 Precision: 0.19045 Recall: 0.93550 F1: 0.31647 F2: 0.52485 Total predictions: 12000 True positives: 1871 False positives: 7953 False negatives: 129 True negatives: 2047 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31292 Precision: 0.17522 Recall: 0.93500 F1: 0.29514 F2: 0.50075 Total predictions: 13000 True positives: 1870 False positives: 8802 False negatives: 130 True negatives: 2198 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.28900 Precision: 0.15181 Recall: 0.94450 F1: 0.26158 F2: 0.46202 Total predictions: 15000 True positives: 1889 False positives: 10554 False negatives: 111 True negatives: 2446 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.33250 Precision: 0.19161 Recall: 0.93350 F1: 0.31795 F2: 0.52609 Total predictions: 12000 True positives: 1867 False positives: 7877 False negatives: 133 True negatives: 2123 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.32608 Precision: 0.19010 Recall: 0.93350 F1: 0.31588 F2: 0.52382 Total predictions: 12000 True positives: 1867 False positives: 7954 False negatives: 133 True negatives: 2046 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.29900 Precision: 0.16091 Recall: 0.92700 F1: 0.27422 F2: 0.47485 Total predictions: 14000 True positives: 1854 False positives: 9668 False negatives: 146 True negatives: 2332 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29692 Precision: 0.17139 Recall: 0.93100 F1: 0.28949 F2: 0.49353 Total predictions: 13000 True positives: 1862 False positives: 9002 False negatives: 138 True negatives: 1998 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.34257 Precision: 0.15617 Recall: 0.81800 F1: 0.26226 F2: 0.44274 Total predictions: 14000 True positives: 1636 False positives: 8840 False negatives: 364 True negatives: 3160 ['poi', 'deferred_income', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30114 Precision: 0.16402 Recall: 0.95000 F1: 0.27974 F2: 0.48509 Total predictions: 14000 True positives: 1900 False positives: 9684 False negatives: 100 True negatives: 2316 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.22058 Precision: 0.16869 Recall: 0.93600 F1: 0.28587 F2: 0.49013 Total predictions: 12000 True positives: 1872 False positives: 9225 False negatives: 128 True negatives: 775 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20836 Precision: 0.14461 Recall: 0.92400 F1: 0.25008 F2: 0.44468 Total predictions: 14000 True positives: 1848 False positives: 10931 False negatives: 152 True negatives: 1069 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.24082 Precision: 0.18469 Recall: 0.93000 F1: 0.30818 F2: 0.51464 Total predictions: 11000 True positives: 1860 False positives: 8211 False negatives: 140 True negatives: 789 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.23309 Precision: 0.18314 Recall: 0.93000 F1: 0.30602 F2: 0.51223 Total predictions: 11000 True positives: 1860 False positives: 8296 False negatives: 140 True negatives: 704 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20831 Precision: 0.15599 Recall: 0.94000 F1: 0.26758 F2: 0.46878 Total predictions: 13000 True positives: 1880 False positives: 10172 False negatives: 120 True negatives: 828 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.20700 Precision: 0.15480 Recall: 0.93150 F1: 0.26548 F2: 0.46494 Total predictions: 13000 True positives: 1863 False positives: 10172 False negatives: 137 True negatives: 828 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.24507 Precision: 0.14017 Recall: 0.83450 F1: 0.24002 F2: 0.41920 Total predictions: 14000 True positives: 1669 False positives: 10238 False negatives: 331 True negatives: 1762 ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20250 Precision: 0.14479 Recall: 0.93400 F1: 0.25072 F2: 0.44687 Total predictions: 14000 True positives: 1868 False positives: 11033 False negatives: 132 True negatives: 967 ['poi', 'deferred_income', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.85407 Precision: 0.48534 Recall: 0.35600 F1: 0.41073 F2: 0.37604 Total predictions: 14000 True positives: 712 False positives: 755 False negatives: 1288 True negatives: 11245 ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.84800 Precision: 0.57358 Recall: 0.34300 F1: 0.42929 F2: 0.37299 Total predictions: 12000 True positives: 686 False positives: 510 False negatives: 1314 True negatives: 9490 ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.85200 Precision: 0.59859 Recall: 0.34000 F1: 0.43367 F2: 0.37215 Total predictions: 12000 True positives: 680 False positives: 456 False negatives: 1320 True negatives: 9544 ['poi', 'deferred_income', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.84208 Precision: 0.47972 Recall: 0.31350 F1: 0.37920 F2: 0.33684 Total predictions: 13000 True positives: 627 False positives: 680 False negatives: 1373 True negatives: 10320 ['poi', 'deferred_income', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'salary'] Accuracy: 0.84762 Precision: 0.50708 Recall: 0.34000 F1: 0.40706 F2: 0.36399 Total predictions: 13000 True positives: 680 False positives: 661 False negatives: 1320 True negatives: 10339 ['poi', 'deferred_income', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.85279 Precision: 0.46806 Recall: 0.22350 F1: 0.30254 F2: 0.24958 Total predictions: 14000 True positives: 447 False positives: 508 False negatives: 1553 True negatives: 11492 ['poi', 'deferred_income', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.85871 Precision: 0.50791 Recall: 0.35300 F1: 0.41652 F2: 0.37593 Total predictions: 14000 True positives: 706 False positives: 684 False negatives: 1294 True negatives: 11316 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86629 Precision: 0.54507 Recall: 0.38700 F1: 0.45263 F2: 0.41083 Total predictions: 14000 True positives: 774 False positives: 646 False negatives: 1226 True negatives: 11354 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86550 Precision: 0.54146 Recall: 0.38200 F1: 0.44796 F2: 0.40591 Total predictions: 14000 True positives: 764 False positives: 647 False negatives: 1236 True negatives: 11353 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.86736 Precision: 0.55011 Recall: 0.39250 F1: 0.45813 F2: 0.41636 Total predictions: 14000 True positives: 785 False positives: 642 False negatives: 1215 True negatives: 11358 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.86950 Precision: 0.56070 Recall: 0.39950 F1: 0.46657 F2: 0.42387 Total predictions: 14000 True positives: 799 False positives: 626 False negatives: 1201 True negatives: 11374 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.86040 Precision: 0.46385 Recall: 0.30150 F1: 0.36545 F2: 0.32419 Total predictions: 15000 True positives: 603 False positives: 697 False negatives: 1397 True negatives: 12303 ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85529 Precision: 0.49170 Recall: 0.38500 F1: 0.43186 F2: 0.40247 Total predictions: 14000 True positives: 770 False positives: 796 False negatives: 1230 True negatives: 11204 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78682 Precision: 0.37232 Recall: 0.25150 F1: 0.30021 F2: 0.26896 Total predictions: 11000 True positives: 503 False positives: 848 False negatives: 1497 True negatives: 8152 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84338 Precision: 0.48500 Recall: 0.29100 F1: 0.36375 F2: 0.31630 Total predictions: 13000 True positives: 582 False positives: 618 False negatives: 1418 True negatives: 10382 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84531 Precision: 0.49607 Recall: 0.34700 F1: 0.40836 F2: 0.36919 Total predictions: 13000 True positives: 694 False positives: 705 False negatives: 1306 True negatives: 10295 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85100 Precision: 0.44953 Recall: 0.19150 F1: 0.26858 F2: 0.21634 Total predictions: 14000 True positives: 383 False positives: 469 False negatives: 1617 True negatives: 11531 ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.87014 Precision: 0.56174 Recall: 0.41400 F1: 0.47668 F2: 0.43699 Total predictions: 14000 True positives: 828 False positives: 646 False negatives: 1172 True negatives: 11354 ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.83938 Precision: 0.46290 Recall: 0.27450 F1: 0.34463 F2: 0.29882 Total predictions: 13000 True positives: 549 False positives: 637 False negatives: 1451 True negatives: 10363 ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83569 Precision: 0.45584 Recall: 0.35100 F1: 0.39661 F2: 0.36792 Total predictions: 13000 True positives: 702 False positives: 838 False negatives: 1298 True negatives: 10162 ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85164 Precision: 0.45422 Recall: 0.19100 F1: 0.26892 F2: 0.21604 Total predictions: 14000 True positives: 382 False positives: 459 False negatives: 1618 True negatives: 11541 ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.87114 Precision: 0.56941 Recall: 0.40200 F1: 0.47128 F2: 0.42711 Total predictions: 14000 True positives: 804 False positives: 608 False negatives: 1196 True negatives: 11392 ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.85571 Precision: 0.49308 Recall: 0.35650 F1: 0.41381 F2: 0.37741 Total predictions: 14000 True positives: 713 False positives: 733 False negatives: 1287 True negatives: 11267 ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.84693 Precision: 0.43422 Recall: 0.23600 F1: 0.30580 F2: 0.25971 Total predictions: 14000 True positives: 472 False positives: 615 False negatives: 1528 True negatives: 11385 ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86293 Precision: 0.52713 Recall: 0.39350 F1: 0.45062 F2: 0.41452 Total predictions: 14000 True positives: 787 False positives: 706 False negatives: 1213 True negatives: 11294 ['poi', 'deferred_income', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.85821 Precision: 0.50831 Recall: 0.22950 F1: 0.31622 F2: 0.25778 Total predictions: 14000 True positives: 459 False positives: 444 False negatives: 1541 True negatives: 11556 ['poi', 'deferred_income', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.86793 Precision: 0.55336 Recall: 0.39150 F1: 0.45857 F2: 0.41583 Total predictions: 14000 True positives: 783 False positives: 632 False negatives: 1217 True negatives: 11368 ['poi', 'deferred_income', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85887 Precision: 0.45294 Recall: 0.28150 F1: 0.34721 F2: 0.30455 Total predictions: 15000 True positives: 563 False positives: 680 False negatives: 1437 True negatives: 12320 ['poi', 'deferred_income', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.32109 Precision: 0.20443 Recall: 0.94550 F1: 0.33618 F2: 0.54812 Total predictions: 11000 True positives: 1891 False positives: 7359 False negatives: 109 True negatives: 1641 ['poi', 'deferred_income', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'bonus'] Accuracy: 0.31755 Precision: 0.20100 Recall: 0.92550 F1: 0.33027 F2: 0.53780 Total predictions: 11000 True positives: 1851 False positives: 7358 False negatives: 149 True negatives: 1642 ['poi', 'deferred_income', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.65007 Precision: 0.19169 Recall: 0.50500 F1: 0.27789 F2: 0.38059 Total predictions: 15000 True positives: 1010 False positives: 4259 False negatives: 990 True negatives: 8741 ['poi', 'deferred_income', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27915 Precision: 0.16848 Recall: 0.93650 F1: 0.28558 F2: 0.48988 Total predictions: 13000 True positives: 1873 False positives: 9244 False negatives: 127 True negatives: 1756 ['poi', 'deferred_income', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29150 Precision: 0.17690 Recall: 0.89000 F1: 0.29514 F2: 0.49275 Total predictions: 12000 True positives: 1780 False positives: 8282 False negatives: 220 True negatives: 1718 ['poi', 'deferred_income', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.26800 Precision: 0.16673 Recall: 0.94000 F1: 0.28322 F2: 0.48765 Total predictions: 13000 True positives: 1880 False positives: 9396 False negatives: 120 True negatives: 1604 ['poi', 'deferred_income', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'salary'] Accuracy: 0.30342 Precision: 0.18598 Recall: 0.94150 F1: 0.31060 F2: 0.51945 Total predictions: 12000 True positives: 1883 False positives: 8242 False negatives: 117 True negatives: 1758 ['poi', 'deferred_income', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'total_payments'] Accuracy: 0.75315 Precision: 0.24990 Recall: 0.30200 F1: 0.27349 F2: 0.28991 Total predictions: 13000 True positives: 604 False positives: 1813 False negatives: 1396 True negatives: 9187 ['poi', 'deferred_income', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.54871 Precision: 0.17709 Recall: 0.59200 F1: 0.27262 F2: 0.40310 Total predictions: 14000 True positives: 1184 False positives: 5502 False negatives: 816 True negatives: 6498 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.21164 Precision: 0.17960 Recall: 0.93500 F1: 0.30132 F2: 0.50782 Total predictions: 11000 True positives: 1870 False positives: 8542 False negatives: 130 True negatives: 458 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22714 Precision: 0.14367 Recall: 0.88900 F1: 0.24736 F2: 0.43630 Total predictions: 14000 True positives: 1778 False positives: 10598 False negatives: 222 True negatives: 1402 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19100 Precision: 0.16429 Recall: 0.94300 F1: 0.27982 F2: 0.48409 Total predictions: 12000 True positives: 1886 False positives: 9594 False negatives: 114 True negatives: 406 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.18942 Precision: 0.15734 Recall: 0.88700 F1: 0.26727 F2: 0.46018 Total predictions: 12000 True positives: 1774 False positives: 9501 False negatives: 226 True negatives: 499 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18331 Precision: 0.15178 Recall: 0.93900 F1: 0.26132 F2: 0.46090 Total predictions: 13000 True positives: 1878 False positives: 10495 False negatives: 122 True negatives: 505 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.20736 Precision: 0.17916 Recall: 0.93800 F1: 0.30086 F2: 0.50782 Total predictions: 11000 True positives: 1876 False positives: 8595 False negatives: 124 True negatives: 405 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.23669 Precision: 0.15283 Recall: 0.87200 F1: 0.26009 F2: 0.44923 Total predictions: 13000 True positives: 1744 False positives: 9667 False negatives: 256 True negatives: 1333 ['poi', 'deferred_income', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.22007 Precision: 0.14298 Recall: 0.89300 F1: 0.24650 F2: 0.43580 Total predictions: 14000 True positives: 1786 False positives: 10705 False negatives: 214 True negatives: 1295 ['poi', 'deferred_income', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.85150 Precision: 0.46700 Recall: 0.27950 F1: 0.34970 F2: 0.30390 Total predictions: 14000 True positives: 559 False positives: 638 False negatives: 1441 True negatives: 11362 ['poi', 'deferred_income', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.82975 Precision: 0.47681 Recall: 0.22100 F1: 0.30202 F2: 0.24756 Total predictions: 12000 True positives: 442 False positives: 485 False negatives: 1558 True negatives: 9515 ['poi', 'deferred_income', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.81708 Precision: 0.41208 Recall: 0.22850 F1: 0.29399 F2: 0.25085 Total predictions: 12000 True positives: 457 False positives: 652 False negatives: 1543 True negatives: 9348 ['poi', 'deferred_income', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.83585 Precision: 0.43853 Recall: 0.23900 F1: 0.30939 F2: 0.26293 Total predictions: 13000 True positives: 478 False positives: 612 False negatives: 1522 True negatives: 10388 ['poi', 'deferred_income', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'salary'] Accuracy: 0.81509 Precision: 0.48103 Recall: 0.21550 F1: 0.29765 F2: 0.24224 Total predictions: 11000 True positives: 431 False positives: 465 False negatives: 1569 True negatives: 8535 ['poi', 'deferred_income', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'total_payments'] Accuracy: 0.83192 Precision: 0.40609 Recall: 0.20000 F1: 0.26801 F2: 0.22259 Total predictions: 13000 True positives: 400 False positives: 585 False negatives: 1600 True negatives: 10415 ['poi', 'deferred_income', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.85050 Precision: 0.46185 Recall: 0.28150 F1: 0.34980 F2: 0.30535 Total predictions: 14000 True positives: 563 False positives: 656 False negatives: 1437 True negatives: 11344 ['poi', 'deferred_income', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.86453 Precision: 0.48642 Recall: 0.28650 F1: 0.36060 F2: 0.31216 Total predictions: 15000 True positives: 573 False positives: 605 False negatives: 1427 True negatives: 12395 ['poi', 'deferred_income', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.86093 Precision: 0.52407 Recall: 0.28850 F1: 0.37214 F2: 0.31700 Total predictions: 14000 True positives: 577 False positives: 524 False negatives: 1423 True negatives: 11476 ['poi', 'deferred_income', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85850 Precision: 0.50817 Recall: 0.29550 F1: 0.37370 F2: 0.32249 Total predictions: 14000 True positives: 591 False positives: 572 False negatives: 1409 True negatives: 11428 ['poi', 'deferred_income', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'salary'] Accuracy: 0.85707 Precision: 0.49957 Recall: 0.29000 F1: 0.36697 F2: 0.31656 Total predictions: 14000 True positives: 580 False positives: 581 False negatives: 1420 True negatives: 11419 ['poi', 'deferred_income', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.85460 Precision: 0.43301 Recall: 0.29250 F1: 0.34915 F2: 0.31280 Total predictions: 15000 True positives: 585 False positives: 766 False negatives: 1415 True negatives: 12234 ['poi', 'deferred_income', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85736 Precision: 0.50112 Recall: 0.33550 F1: 0.40192 F2: 0.35925 Total predictions: 14000 True positives: 671 False positives: 668 False negatives: 1329 True negatives: 11332 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.80883 Precision: 0.34939 Recall: 0.17050 F1: 0.22917 F2: 0.18995 Total predictions: 12000 True positives: 341 False positives: 635 False negatives: 1659 True negatives: 9365 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84250 Precision: 0.40284 Recall: 0.21250 F1: 0.27823 F2: 0.23468 Total predictions: 14000 True positives: 425 False positives: 630 False negatives: 1575 True negatives: 11370 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.82925 Precision: 0.47374 Recall: 0.22100 F1: 0.30140 F2: 0.24740 Total predictions: 12000 True positives: 442 False positives: 491 False negatives: 1558 True negatives: 9509 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84000 Precision: 0.37013 Recall: 0.17100 F1: 0.23393 F2: 0.19162 Total predictions: 14000 True positives: 342 False positives: 582 False negatives: 1658 True negatives: 11418 ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85836 Precision: 0.50772 Recall: 0.27950 F1: 0.36053 F2: 0.30711 Total predictions: 14000 True positives: 559 False positives: 542 False negatives: 1441 True negatives: 11458 ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.81562 Precision: 0.33389 Recall: 0.19950 F1: 0.24977 F2: 0.21697 Total predictions: 13000 True positives: 399 False positives: 796 False negatives: 1601 True negatives: 10204 ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.82217 Precision: 0.43727 Recall: 0.23350 F1: 0.30443 F2: 0.25750 Total predictions: 12000 True positives: 467 False positives: 601 False negatives: 1533 True negatives: 9399 ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83457 Precision: 0.33711 Recall: 0.16350 F1: 0.22020 F2: 0.18227 Total predictions: 14000 True positives: 327 False positives: 643 False negatives: 1673 True negatives: 11357 ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86064 Precision: 0.52233 Recall: 0.28650 F1: 0.37004 F2: 0.31494 Total predictions: 14000 True positives: 573 False positives: 524 False negatives: 1427 True negatives: 11476 ['poi', 'deferred_income', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'other', 'restricted_stock', 'salary'] Accuracy: 0.84038 Precision: 0.46341 Recall: 0.23750 F1: 0.31405 F2: 0.26316 Total predictions: 13000 True positives: 475 False positives: 550 False negatives: 1525 True negatives: 10450 ['poi', 'deferred_income', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.83443 Precision: 0.36924 Recall: 0.22450 F1: 0.27923 F2: 0.24360 Total predictions: 14000 True positives: 449 False positives: 767 False negatives: 1551 True negatives: 11233 ['poi', 'deferred_income', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85271 Precision: 0.47512 Recall: 0.29600 F1: 0.36476 F2: 0.32014 Total predictions: 14000 True positives: 592 False positives: 654 False negatives: 1408 True negatives: 11346 ['poi', 'deferred_income', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'other', 'salary', 'total_payments'] Accuracy: 0.83831 Precision: 0.44333 Recall: 0.19950 F1: 0.27517 F2: 0.22416 Total predictions: 13000 True positives: 399 False positives: 501 False negatives: 1601 True negatives: 10499 ['poi', 'deferred_income', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.85979 Precision: 0.51650 Recall: 0.28950 F1: 0.37103 F2: 0.31740 Total predictions: 14000 True positives: 579 False positives: 542 False negatives: 1421 True negatives: 11458 ['poi', 'deferred_income', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84843 Precision: 0.45104 Recall: 0.28100 F1: 0.34627 F2: 0.30392 Total predictions: 14000 True positives: 562 False positives: 684 False negatives: 1438 True negatives: 11316 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.35000 Precision: 0.23529 Recall: 1.00000 F1: 0.38095 F2: 0.60606 Total predictions: 10000 True positives: 2000 False positives: 6500 False negatives: 0 True negatives: 1500 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.25529 Precision: 0.16095 Recall: 1.00000 F1: 0.27728 F2: 0.48957 Total predictions: 14000 True positives: 2000 False positives: 10426 False negatives: 0 True negatives: 1574 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.33364 Precision: 0.21436 Recall: 1.00000 F1: 0.35305 F2: 0.57703 Total predictions: 11000 True positives: 2000 False positives: 7330 False negatives: 0 True negatives: 1670 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.34140 Precision: 0.22400 Recall: 0.93050 F1: 0.36108 F2: 0.57058 Total predictions: 10000 True positives: 1861 False positives: 6447 False negatives: 139 True negatives: 1553 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.28023 Precision: 0.17536 Recall: 0.99350 F1: 0.29810 F2: 0.51394 Total predictions: 13000 True positives: 1987 False positives: 9344 False negatives: 13 True negatives: 1656 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.32391 Precision: 0.21107 Recall: 0.99300 F1: 0.34815 F2: 0.57039 Total predictions: 11000 True positives: 1986 False positives: 7423 False negatives: 14 True negatives: 1577 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.27962 Precision: 0.17598 Recall: 1.00000 F1: 0.29929 F2: 0.51640 Total predictions: 13000 True positives: 2000 False positives: 9365 False negatives: 0 True negatives: 1635 ['poi', 'deferred_income', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.58036 Precision: 0.21478 Recall: 0.72950 F1: 0.33185 F2: 0.49314 Total predictions: 14000 True positives: 1459 False positives: 5334 False negatives: 541 True negatives: 6666 ['poi', 'deferred_income', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.29658 Precision: 0.19155 Recall: 1.00000 F1: 0.32152 F2: 0.54227 Total predictions: 12000 True positives: 2000 False positives: 8441 False negatives: 0 True negatives: 1559 ['poi', 'deferred_income', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.29825 Precision: 0.18410 Recall: 0.93550 F1: 0.30765 F2: 0.51506 Total predictions: 12000 True positives: 1871 False positives: 8292 False negatives: 129 True negatives: 1708 ['poi', 'deferred_income', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.27969 Precision: 0.17502 Recall: 0.99150 F1: 0.29752 F2: 0.51293 Total predictions: 13000 True positives: 1983 False positives: 9347 False negatives: 17 True negatives: 1653 ['poi', 'deferred_income', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'salary'] Accuracy: 0.32427 Precision: 0.21116 Recall: 0.99300 F1: 0.34827 F2: 0.57053 Total predictions: 11000 True positives: 1986 False positives: 7419 False negatives: 14 True negatives: 1581 ['poi', 'deferred_income', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.72785 Precision: 0.24108 Recall: 0.35800 F1: 0.28813 F2: 0.32634 Total predictions: 13000 True positives: 716 False positives: 2254 False negatives: 1284 True negatives: 8746 ['poi', 'deferred_income', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.42729 Precision: 0.18192 Recall: 0.86050 F1: 0.30035 F2: 0.49284 Total predictions: 14000 True positives: 1721 False positives: 7739 False negatives: 279 True negatives: 4261 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24993 Precision: 0.15093 Recall: 1.00000 F1: 0.26228 F2: 0.47057 Total predictions: 15000 True positives: 2000 False positives: 11251 False negatives: 0 True negatives: 1749 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.26036 Precision: 0.16149 Recall: 0.99650 F1: 0.27794 F2: 0.48990 Total predictions: 14000 True positives: 1993 False positives: 10348 False negatives: 7 True negatives: 1652 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.52643 Precision: 0.17927 Recall: 0.64700 F1: 0.28076 F2: 0.42515 Total predictions: 14000 True positives: 1294 False positives: 5924 False negatives: 706 True negatives: 6076 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.44487 Precision: 0.18482 Recall: 0.92750 F1: 0.30822 F2: 0.51422 Total predictions: 15000 True positives: 1855 False positives: 8182 False negatives: 145 True negatives: 4818 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.78713 Precision: 0.29882 Recall: 0.44300 F1: 0.35690 F2: 0.40401 Total predictions: 15000 True positives: 886 False positives: 2079 False negatives: 1114 True negatives: 10921 ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.73079 Precision: 0.25573 Recall: 0.46300 F1: 0.32948 F2: 0.39842 Total predictions: 14000 True positives: 926 False positives: 2695 False negatives: 1074 True negatives: 9305 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.32973 Precision: 0.20527 Recall: 0.93550 F1: 0.33666 F2: 0.54660 Total predictions: 11000 True positives: 1871 False positives: 7244 False negatives: 129 True negatives: 1756 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27477 Precision: 0.17438 Recall: 0.99450 F1: 0.29673 F2: 0.51247 Total predictions: 13000 True positives: 1989 False positives: 9417 False negatives: 11 True negatives: 1583 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28377 Precision: 0.17567 Recall: 0.99000 F1: 0.29839 F2: 0.51373 Total predictions: 13000 True positives: 1980 False positives: 9291 False negatives: 20 True negatives: 1709 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.67021 Precision: 0.18417 Recall: 0.38150 F1: 0.24841 F2: 0.31417 Total predictions: 14000 True positives: 763 False positives: 3380 False negatives: 1237 True negatives: 8620 ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26021 Precision: 0.16180 Recall: 0.99950 F1: 0.27851 F2: 0.49103 Total predictions: 14000 True positives: 1999 False positives: 10356 False negatives: 1 True negatives: 1644 ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.27169 Precision: 0.16690 Recall: 0.93550 F1: 0.28327 F2: 0.48699 Total predictions: 13000 True positives: 1871 False positives: 9339 False negatives: 129 True negatives: 1661 ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29325 Precision: 0.18302 Recall: 0.93550 F1: 0.30614 F2: 0.51336 Total predictions: 12000 True positives: 1871 False positives: 8352 False negatives: 129 True negatives: 1648 ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.68443 Precision: 0.18936 Recall: 0.36850 F1: 0.25017 F2: 0.30987 Total predictions: 14000 True positives: 737 False positives: 3155 False negatives: 1263 True negatives: 8845 ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.25971 Precision: 0.15738 Recall: 0.96050 F1: 0.27045 F2: 0.47535 Total predictions: 14000 True positives: 1921 False positives: 10285 False negatives: 79 True negatives: 1715 ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.27515 Precision: 0.17486 Recall: 0.99800 F1: 0.29758 F2: 0.51404 Total predictions: 13000 True positives: 1996 False positives: 9419 False negatives: 4 True negatives: 1581 ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.74493 Precision: 0.24016 Recall: 0.36300 F1: 0.28907 F2: 0.32931 Total predictions: 14000 True positives: 726 False positives: 2297 False negatives: 1274 True negatives: 9703 ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.42807 Precision: 0.16976 Recall: 0.77200 F1: 0.27832 F2: 0.45159 Total predictions: 14000 True positives: 1544 False positives: 7551 False negatives: 456 True negatives: 4449 ['poi', 'deferred_income', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.71823 Precision: 0.24611 Recall: 0.40300 F1: 0.30559 F2: 0.35743 Total predictions: 13000 True positives: 806 False positives: 2469 False negatives: 1194 True negatives: 8531 ['poi', 'deferred_income', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.30993 Precision: 0.16896 Recall: 0.97750 F1: 0.28811 F2: 0.49946 Total predictions: 14000 True positives: 1955 False positives: 9616 False negatives: 45 True negatives: 2384 ['poi', 'deferred_income', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.76614 Precision: 0.28653 Recall: 0.42750 F1: 0.34310 F2: 0.38920 Total predictions: 14000 True positives: 855 False positives: 2129 False negatives: 1145 True negatives: 9871 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.22871 Precision: 0.15165 Recall: 0.95750 F1: 0.26183 F2: 0.46417 Total predictions: 14000 True positives: 1915 False positives: 10713 False negatives: 85 True negatives: 1287 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.20175 Precision: 0.17273 Recall: 1.00000 F1: 0.29457 F2: 0.51075 Total predictions: 12000 True positives: 2000 False positives: 9579 False negatives: 0 True negatives: 421 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.20791 Precision: 0.17969 Recall: 0.94150 F1: 0.30179 F2: 0.50950 Total predictions: 11000 True positives: 1883 False positives: 8596 False negatives: 117 True negatives: 404 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.18623 Precision: 0.15791 Recall: 0.99000 F1: 0.27237 F2: 0.48201 Total predictions: 13000 True positives: 1980 False positives: 10559 False negatives: 20 True negatives: 441 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.21555 Precision: 0.18710 Recall: 0.99100 F1: 0.31478 F2: 0.53300 Total predictions: 11000 True positives: 1982 False positives: 8611 False negatives: 18 True negatives: 389 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.23362 Precision: 0.15351 Recall: 0.88200 F1: 0.26151 F2: 0.45252 Total predictions: 13000 True positives: 1764 False positives: 9727 False negatives: 236 True negatives: 1273 ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22464 Precision: 0.15069 Recall: 0.95500 F1: 0.26031 F2: 0.46191 Total predictions: 14000 True positives: 1910 False positives: 10765 False negatives: 90 True negatives: 1235 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.22550 Precision: 0.14917 Recall: 0.94000 F1: 0.25748 F2: 0.45624 Total predictions: 14000 True positives: 1880 False positives: 10723 False negatives: 120 True negatives: 1277 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.22236 Precision: 0.14987 Recall: 0.95100 F1: 0.25893 F2: 0.45962 Total predictions: 14000 True positives: 1902 False positives: 10789 False negatives: 98 True negatives: 1211 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.22407 Precision: 0.15015 Recall: 0.95100 F1: 0.25936 F2: 0.46015 Total predictions: 14000 True positives: 1902 False positives: 10765 False negatives: 98 True negatives: 1235 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.23486 Precision: 0.15091 Recall: 0.94150 F1: 0.26012 F2: 0.45976 Total predictions: 14000 True positives: 1883 False positives: 10595 False negatives: 117 True negatives: 1405 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22540 Precision: 0.13573 Recall: 0.89600 F1: 0.23574 F2: 0.42258 Total predictions: 15000 True positives: 1792 False positives: 11411 False negatives: 208 True negatives: 1589 ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.22786 Precision: 0.15056 Recall: 0.94900 F1: 0.25989 F2: 0.46055 Total predictions: 14000 True positives: 1898 False positives: 10708 False negatives: 102 True negatives: 1292 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.20945 Precision: 0.17808 Recall: 0.92600 F1: 0.29871 F2: 0.50326 Total predictions: 11000 True positives: 1852 False positives: 8548 False negatives: 148 True negatives: 452 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.18169 Precision: 0.15739 Recall: 0.99200 F1: 0.27167 F2: 0.48141 Total predictions: 13000 True positives: 1984 False positives: 10622 False negatives: 16 True negatives: 378 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.19883 Precision: 0.17119 Recall: 0.99100 F1: 0.29194 F2: 0.50618 Total predictions: 12000 True positives: 1982 False positives: 9596 False negatives: 18 True negatives: 404 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21557 Precision: 0.14329 Recall: 0.90200 F1: 0.24729 F2: 0.43808 Total predictions: 14000 True positives: 1804 False positives: 10786 False negatives: 196 True negatives: 1214 ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.22050 Precision: 0.14967 Recall: 0.95200 F1: 0.25868 F2: 0.45944 Total predictions: 14000 True positives: 1904 False positives: 10817 False negatives: 96 True negatives: 1183 ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.17462 Precision: 0.14912 Recall: 0.92750 F1: 0.25693 F2: 0.45377 Total predictions: 13000 True positives: 1855 False positives: 10585 False negatives: 145 True negatives: 415 ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.19258 Precision: 0.16244 Recall: 0.92500 F1: 0.27635 F2: 0.47707 Total predictions: 12000 True positives: 1850 False positives: 9539 False negatives: 150 True negatives: 461 ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.21800 Precision: 0.14197 Recall: 0.88700 F1: 0.24476 F2: 0.43277 Total predictions: 14000 True positives: 1774 False positives: 10722 False negatives: 226 True negatives: 1278 ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.22486 Precision: 0.15006 Recall: 0.94900 F1: 0.25915 F2: 0.45961 Total predictions: 14000 True positives: 1898 False positives: 10750 False negatives: 102 True negatives: 1250 ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.18423 Precision: 0.15785 Recall: 0.99250 F1: 0.27238 F2: 0.48238 Total predictions: 13000 True positives: 1985 False positives: 10590 False negatives: 15 True negatives: 410 ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.22207 Precision: 0.14152 Recall: 0.87750 F1: 0.24373 F2: 0.43013 Total predictions: 14000 True positives: 1755 False positives: 10646 False negatives: 245 True negatives: 1354 ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.22279 Precision: 0.14994 Recall: 0.95100 F1: 0.25904 F2: 0.45975 Total predictions: 14000 True positives: 1902 False positives: 10783 False negatives: 98 True negatives: 1217 ['poi', 'deferred_income', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.23231 Precision: 0.15238 Recall: 0.87450 F1: 0.25953 F2: 0.44897 Total predictions: 13000 True positives: 1749 False positives: 9729 False negatives: 251 True negatives: 1271 ['poi', 'deferred_income', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.22607 Precision: 0.15071 Recall: 0.95300 F1: 0.26026 F2: 0.46157 Total predictions: 14000 True positives: 1906 False positives: 10741 False negatives: 94 True negatives: 1259 ['poi', 'deferred_income', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.21864 Precision: 0.14258 Recall: 0.89150 F1: 0.24585 F2: 0.43477 Total predictions: 14000 True positives: 1783 False positives: 10722 False negatives: 217 True negatives: 1278 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85679 Precision: 0.49821 Recall: 0.34700 F1: 0.40908 F2: 0.36942 Total predictions: 14000 True positives: 694 False positives: 699 False negatives: 1306 True negatives: 11301 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85664 Precision: 0.49754 Recall: 0.35450 F1: 0.41401 F2: 0.37613 Total predictions: 14000 True positives: 709 False positives: 716 False negatives: 1291 True negatives: 11284 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85707 Precision: 0.49964 Recall: 0.34500 F1: 0.40816 F2: 0.36776 Total predictions: 14000 True positives: 690 False positives: 691 False negatives: 1310 True negatives: 11309 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.84650 Precision: 0.45203 Recall: 0.35100 F1: 0.39516 F2: 0.36742 Total predictions: 14000 True positives: 702 False positives: 851 False negatives: 1298 True negatives: 11149 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.85440 Precision: 0.43205 Recall: 0.29250 F1: 0.34884 F2: 0.31270 Total predictions: 15000 True positives: 585 False positives: 769 False negatives: 1415 True negatives: 12231 ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85629 Precision: 0.49614 Recall: 0.38550 F1: 0.43388 F2: 0.40350 Total predictions: 14000 True positives: 771 False positives: 783 False negatives: 1229 True negatives: 11217 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.83625 Precision: 0.51455 Recall: 0.30950 F1: 0.38651 F2: 0.33630 Total predictions: 12000 True positives: 619 False positives: 584 False negatives: 1381 True negatives: 9416 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84523 Precision: 0.49526 Recall: 0.31350 F1: 0.38396 F2: 0.33833 Total predictions: 13000 True positives: 627 False positives: 639 False negatives: 1373 True negatives: 10361 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84250 Precision: 0.54799 Recall: 0.31400 F1: 0.39924 F2: 0.34332 Total predictions: 12000 True positives: 628 False positives: 518 False negatives: 1372 True negatives: 9482 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85850 Precision: 0.51061 Recall: 0.22850 F1: 0.31572 F2: 0.25689 Total predictions: 14000 True positives: 457 False positives: 438 False negatives: 1543 True negatives: 11562 ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.86179 Precision: 0.52479 Recall: 0.34400 F1: 0.41558 F2: 0.36946 Total predictions: 14000 True positives: 688 False positives: 623 False negatives: 1312 True negatives: 11377 ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.83569 Precision: 0.45058 Recall: 0.31000 F1: 0.36730 F2: 0.33063 Total predictions: 13000 True positives: 620 False positives: 756 False negatives: 1380 True negatives: 10244 ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83917 Precision: 0.52991 Recall: 0.31000 F1: 0.39117 F2: 0.33806 Total predictions: 12000 True positives: 620 False positives: 550 False negatives: 1380 True negatives: 9450 ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85293 Precision: 0.46838 Recall: 0.21850 F1: 0.29799 F2: 0.24460 Total predictions: 14000 True positives: 437 False positives: 496 False negatives: 1563 True negatives: 11504 ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86050 Precision: 0.51763 Recall: 0.34500 F1: 0.41404 F2: 0.36966 Total predictions: 14000 True positives: 690 False positives: 643 False negatives: 1310 True negatives: 11357 ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.84292 Precision: 0.48377 Recall: 0.31300 F1: 0.38009 F2: 0.33678 Total predictions: 13000 True positives: 626 False positives: 668 False negatives: 1374 True negatives: 10332 ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.83400 Precision: 0.36914 Recall: 0.22850 F1: 0.28227 F2: 0.24735 Total predictions: 14000 True positives: 457 False positives: 781 False negatives: 1543 True negatives: 11219 ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85221 Precision: 0.47622 Recall: 0.34550 F1: 0.40046 F2: 0.36557 Total predictions: 14000 True positives: 691 False positives: 760 False negatives: 1309 True negatives: 11240 ['poi', 'deferred_income', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'salary', 'total_payments'] Accuracy: 0.84408 Precision: 0.48436 Recall: 0.20900 F1: 0.29200 F2: 0.23581 Total predictions: 13000 True positives: 418 False positives: 445 False negatives: 1582 True negatives: 10555 ['poi', 'deferred_income', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.86307 Precision: 0.53081 Recall: 0.35750 F1: 0.42725 F2: 0.38248 Total predictions: 14000 True positives: 715 False positives: 632 False negatives: 1285 True negatives: 11368 ['poi', 'deferred_income', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84886 Precision: 0.45330 Recall: 0.28150 F1: 0.34732 F2: 0.30459 Total predictions: 14000 True positives: 563 False positives: 679 False negatives: 1437 True negatives: 11321 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.86100 Precision: 0.51997 Recall: 0.35150 F1: 0.41945 F2: 0.37586 Total predictions: 14000 True positives: 703 False positives: 649 False negatives: 1297 True negatives: 11351 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.86614 Precision: 0.54592 Recall: 0.37450 F1: 0.44425 F2: 0.39959 Total predictions: 14000 True positives: 749 False positives: 623 False negatives: 1251 True negatives: 11377 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85950 Precision: 0.51212 Recall: 0.34850 F1: 0.41476 F2: 0.37229 Total predictions: 14000 True positives: 697 False positives: 664 False negatives: 1303 True negatives: 11336 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85527 Precision: 0.43643 Recall: 0.29350 F1: 0.35097 F2: 0.31407 Total predictions: 15000 True positives: 587 False positives: 758 False negatives: 1413 True negatives: 12242 ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.85943 Precision: 0.51075 Recall: 0.38000 F1: 0.43578 F2: 0.40051 Total predictions: 14000 True positives: 760 False positives: 728 False negatives: 1240 True negatives: 11272 ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.86750 Precision: 0.55590 Recall: 0.36050 F1: 0.43737 F2: 0.38776 Total predictions: 14000 True positives: 721 False positives: 576 False negatives: 1279 True negatives: 11424 ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.86571 Precision: 0.54637 Recall: 0.35350 F1: 0.42927 F2: 0.38035 Total predictions: 14000 True positives: 707 False positives: 587 False negatives: 1293 True negatives: 11413 ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85527 Precision: 0.43624 Recall: 0.29250 F1: 0.35019 F2: 0.31314 Total predictions: 15000 True positives: 585 False positives: 756 False negatives: 1415 True negatives: 12244 ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.86379 Precision: 0.53214 Recall: 0.38500 F1: 0.44677 F2: 0.40754 Total predictions: 14000 True positives: 770 False positives: 677 False negatives: 1230 True negatives: 11323 ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.86007 Precision: 0.51491 Recall: 0.35400 F1: 0.41956 F2: 0.37760 Total predictions: 14000 True positives: 708 False positives: 667 False negatives: 1292 True negatives: 11333 ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.86200 Precision: 0.47287 Recall: 0.30500 F1: 0.37082 F2: 0.32831 Total predictions: 15000 True positives: 610 False positives: 680 False negatives: 1390 True negatives: 12320 ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86707 Precision: 0.54982 Recall: 0.38350 F1: 0.45184 F2: 0.40820 Total predictions: 14000 True positives: 767 False positives: 628 False negatives: 1233 True negatives: 11372 ['poi', 'deferred_income', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.85433 Precision: 0.43194 Recall: 0.29350 F1: 0.34951 F2: 0.31360 Total predictions: 15000 True positives: 587 False positives: 772 False negatives: 1413 True negatives: 12228 ['poi', 'deferred_income', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.86214 Precision: 0.52368 Recall: 0.38700 F1: 0.44508 F2: 0.40831 Total predictions: 14000 True positives: 774 False positives: 704 False negatives: 1226 True negatives: 11296 ['poi', 'deferred_income', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86153 Precision: 0.47264 Recall: 0.33250 F1: 0.39037 F2: 0.35346 Total predictions: 15000 True positives: 665 False positives: 742 False negatives: 1335 True negatives: 12258 ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.82769 Precision: 0.40307 Recall: 0.24950 F1: 0.30821 F2: 0.27008 Total predictions: 13000 True positives: 499 False positives: 739 False negatives: 1501 True negatives: 10261 ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83308 Precision: 0.49871 Recall: 0.29050 F1: 0.36714 F2: 0.31697 Total predictions: 12000 True positives: 581 False positives: 584 False negatives: 1419 True negatives: 9416 ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84886 Precision: 0.42927 Recall: 0.17600 F1: 0.24965 F2: 0.19955 Total predictions: 14000 True positives: 352 False positives: 468 False negatives: 1648 True negatives: 11532 ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.87179 Precision: 0.57964 Recall: 0.37300 F1: 0.45391 F2: 0.40164 Total predictions: 14000 True positives: 746 False positives: 541 False negatives: 1254 True negatives: 11459 ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.84169 Precision: 0.47810 Recall: 0.31650 F1: 0.38087 F2: 0.33945 Total predictions: 13000 True positives: 633 False positives: 691 False negatives: 1367 True negatives: 10309 ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.84321 Precision: 0.41287 Recall: 0.23100 F1: 0.29625 F2: 0.25332 Total predictions: 14000 True positives: 462 False positives: 657 False negatives: 1538 True negatives: 11343 ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86286 Precision: 0.52797 Recall: 0.37750 F1: 0.44023 F2: 0.40032 Total predictions: 14000 True positives: 755 False positives: 675 False negatives: 1245 True negatives: 11325 ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.85843 Precision: 0.50993 Recall: 0.23100 F1: 0.31796 F2: 0.25938 Total predictions: 14000 True positives: 462 False positives: 444 False negatives: 1538 True negatives: 11556 ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.86729 Precision: 0.55707 Recall: 0.34650 F1: 0.42725 F2: 0.37484 Total predictions: 14000 True positives: 693 False positives: 551 False negatives: 1307 True negatives: 11449 ['poi', 'deferred_income', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85333 Precision: 0.42548 Recall: 0.28550 F1: 0.34171 F2: 0.30561 Total predictions: 15000 True positives: 571 False positives: 771 False negatives: 1429 True negatives: 12229 ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.82962 Precision: 0.42602 Recall: 0.30950 F1: 0.35853 F2: 0.32741 Total predictions: 13000 True positives: 619 False positives: 834 False negatives: 1381 True negatives: 10166 ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.83207 Precision: 0.36038 Recall: 0.22650 F1: 0.27817 F2: 0.24468 Total predictions: 14000 True positives: 453 False positives: 804 False negatives: 1547 True negatives: 11196 ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86336 Precision: 0.53201 Recall: 0.36150 F1: 0.43049 F2: 0.38626 Total predictions: 14000 True positives: 723 False positives: 636 False negatives: 1277 True negatives: 11364 ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.85400 Precision: 0.47694 Recall: 0.22750 F1: 0.30806 F2: 0.25408 Total predictions: 14000 True positives: 455 False positives: 499 False negatives: 1545 True negatives: 11501 ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.86929 Precision: 0.56967 Recall: 0.34750 F1: 0.43168 F2: 0.37690 Total predictions: 14000 True positives: 695 False positives: 525 False negatives: 1305 True negatives: 11475 ['poi', 'deferred_income', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85393 Precision: 0.42625 Recall: 0.27600 F1: 0.33505 F2: 0.29693 Total predictions: 15000 True positives: 552 False positives: 743 False negatives: 1448 True negatives: 12257 ['poi', 'deferred_income', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.83329 Precision: 0.36830 Recall: 0.23350 F1: 0.28580 F2: 0.25194 Total predictions: 14000 True positives: 467 False positives: 801 False negatives: 1533 True negatives: 11199 ['poi', 'deferred_income', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.86007 Precision: 0.51484 Recall: 0.35550 F1: 0.42059 F2: 0.37896 Total predictions: 14000 True positives: 711 False positives: 670 False negatives: 1289 True negatives: 11330 ['poi', 'deferred_income', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85487 Precision: 0.43610 Recall: 0.30200 F1: 0.35687 F2: 0.32179 Total predictions: 15000 True positives: 604 False positives: 781 False negatives: 1396 True negatives: 12219 ['poi', 'deferred_income', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'deferred_income', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84936 Precision: 0.45594 Recall: 0.28200 F1: 0.34847 F2: 0.30529 Total predictions: 14000 True positives: 564 False positives: 673 False negatives: 1436 True negatives: 11327 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages'] Accuracy: 0.34000 Precision: 0.19288 Recall: 0.92950 F1: 0.31947 F2: 0.52699 Total predictions: 12000 True positives: 1859 False positives: 7779 False negatives: 141 True negatives: 2221 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other'] Accuracy: 0.27754 Precision: 0.16828 Recall: 0.93750 F1: 0.28534 F2: 0.48976 Total predictions: 13000 True positives: 1875 False positives: 9267 False negatives: 125 True negatives: 1733 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees'] Accuracy: 0.38392 Precision: 0.19982 Recall: 1.00000 F1: 0.33308 F2: 0.55528 Total predictions: 13000 True positives: 2000 False positives: 8009 False negatives: 0 True negatives: 2991 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees'] Accuracy: 0.31625 Precision: 0.19598 Recall: 1.00000 F1: 0.32773 F2: 0.54930 Total predictions: 12000 True positives: 2000 False positives: 8205 False negatives: 0 True negatives: 1795 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus'] Accuracy: 0.30683 Precision: 0.19384 Recall: 1.00000 F1: 0.32473 F2: 0.54591 Total predictions: 12000 True positives: 2000 False positives: 8318 False negatives: 0 True negatives: 1682 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.16292 Recall: 0.99900 F1: 0.28015 F2: 0.49299 Total predictions: 14000 True positives: 1998 False positives: 10266 False negatives: 2 True negatives: 1734 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person'] Accuracy: 0.31625 Precision: 0.19598 Recall: 1.00000 F1: 0.32773 F2: 0.54930 Total predictions: 12000 True positives: 2000 False positives: 8205 False negatives: 0 True negatives: 1795 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi'] Accuracy: 0.30817 Precision: 0.18603 Recall: 0.93350 F1: 0.31024 F2: 0.51758 Total predictions: 12000 True positives: 1867 False positives: 8169 False negatives: 133 True negatives: 1831 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock'] Accuracy: 0.28754 Precision: 0.17661 Recall: 0.99150 F1: 0.29982 F2: 0.51565 Total predictions: 13000 True positives: 1983 False positives: 9245 False negatives: 17 True negatives: 1755 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary'] Accuracy: 0.30117 Precision: 0.19150 Recall: 0.99100 F1: 0.32097 F2: 0.54005 Total predictions: 12000 True positives: 1982 False positives: 8368 False negatives: 18 True negatives: 1632 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments'] Accuracy: 0.25114 Precision: 0.15383 Recall: 0.94250 F1: 0.26449 F2: 0.46534 Total predictions: 14000 True positives: 1885 False positives: 10369 False negatives: 115 True negatives: 1631 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'exercised_stock_options'] Accuracy: 0.28462 Precision: 0.17693 Recall: 0.99950 F1: 0.30065 F2: 0.51793 Total predictions: 13000 True positives: 1999 False positives: 9299 False negatives: 1 True negatives: 1701 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'other'] Accuracy: 0.29977 Precision: 0.16712 Recall: 0.89150 F1: 0.28147 F2: 0.47753 Total predictions: 13000 True positives: 1783 False positives: 8886 False negatives: 217 True negatives: 2114 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'director_fees'] Accuracy: 0.39946 Precision: 0.19587 Recall: 0.93500 F1: 0.32389 F2: 0.53285 Total predictions: 13000 True positives: 1870 False positives: 7677 False negatives: 130 True negatives: 3323 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees'] Accuracy: 0.33092 Precision: 0.19073 Recall: 0.92950 F1: 0.31651 F2: 0.52375 Total predictions: 12000 True positives: 1859 False positives: 7888 False negatives: 141 True negatives: 2112 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'bonus'] Accuracy: 0.32633 Precision: 0.19022 Recall: 0.93400 F1: 0.31607 F2: 0.52413 Total predictions: 12000 True positives: 1868 False positives: 7952 False negatives: 132 True negatives: 2048 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'total_stock_value'] Accuracy: 0.28771 Precision: 0.16048 Recall: 0.94200 F1: 0.27424 F2: 0.47720 Total predictions: 14000 True positives: 1884 False positives: 9856 False negatives: 116 True negatives: 2144 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.34000 Precision: 0.19288 Recall: 0.92950 F1: 0.31947 F2: 0.52699 Total predictions: 12000 True positives: 1859 False positives: 7779 False negatives: 141 True negatives: 2221 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.33092 Precision: 0.19073 Recall: 0.92950 F1: 0.31651 F2: 0.52375 Total predictions: 12000 True positives: 1859 False positives: 7888 False negatives: 141 True negatives: 2112 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'restricted_stock'] Accuracy: 0.30785 Precision: 0.17360 Recall: 0.93050 F1: 0.29261 F2: 0.49706 Total predictions: 13000 True positives: 1861 False positives: 8859 False negatives: 139 True negatives: 2141 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'salary'] Accuracy: 0.31925 Precision: 0.18796 Recall: 0.92900 F1: 0.31266 F2: 0.51943 Total predictions: 12000 True positives: 1858 False positives: 8027 False negatives: 142 True negatives: 1973 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'total_payments'] Accuracy: 0.26857 Precision: 0.15031 Recall: 0.88550 F1: 0.25700 F2: 0.44763 Total predictions: 14000 True positives: 1771 False positives: 10011 False negatives: 229 True negatives: 1989 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_messages', 'exercised_stock_options'] Accuracy: 0.30492 Precision: 0.17456 Recall: 0.94350 F1: 0.29461 F2: 0.50159 Total predictions: 13000 True positives: 1887 False positives: 8923 False negatives: 113 True negatives: 2077 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'director_fees'] Accuracy: 0.42158 Precision: 0.21620 Recall: 0.94100 F1: 0.35161 F2: 0.56330 Total predictions: 12000 True positives: 1882 False positives: 6823 False negatives: 118 True negatives: 3177 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'resto_dirfees'] Accuracy: 0.36180 Precision: 0.23274 Recall: 0.95400 F1: 0.37419 F2: 0.58896 Total predictions: 10000 True positives: 1908 False positives: 6290 False negatives: 92 True negatives: 1710 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'bonus'] Accuracy: 0.34655 Precision: 0.21101 Recall: 0.94700 F1: 0.34512 F2: 0.55785 Total predictions: 11000 True positives: 1894 False positives: 7082 False negatives: 106 True negatives: 1918 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.15750 Recall: 0.95050 F1: 0.27022 F2: 0.47359 Total predictions: 14000 True positives: 1901 False positives: 10169 False negatives: 99 True negatives: 1831 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person'] Accuracy: 0.30667 Precision: 0.18626 Recall: 0.93800 F1: 0.31080 F2: 0.51903 Total predictions: 12000 True positives: 1876 False positives: 8196 False negatives: 124 True negatives: 1804 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi'] Accuracy: 0.32282 Precision: 0.19603 Recall: 0.87850 F1: 0.32053 F2: 0.51789 Total predictions: 11000 True positives: 1757 False positives: 7206 False negatives: 243 True negatives: 1794 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'restricted_stock'] Accuracy: 0.29925 Precision: 0.18432 Recall: 0.93550 F1: 0.30796 F2: 0.51540 Total predictions: 12000 True positives: 1871 False positives: 8280 False negatives: 129 True negatives: 1720 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'salary'] Accuracy: 0.33618 Precision: 0.20694 Recall: 0.93600 F1: 0.33895 F2: 0.54910 Total predictions: 11000 True positives: 1872 False positives: 7174 False negatives: 128 True negatives: 1826 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'total_payments'] Accuracy: 0.28069 Precision: 0.16968 Recall: 0.94400 F1: 0.28765 F2: 0.49354 Total predictions: 13000 True positives: 1888 False positives: 9239 False negatives: 112 True negatives: 1761 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'other', 'exercised_stock_options'] Accuracy: 0.27731 Precision: 0.16931 Recall: 0.94650 F1: 0.28723 F2: 0.49346 Total predictions: 13000 True positives: 1893 False positives: 9288 False negatives: 107 True negatives: 1712 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees'] Accuracy: 0.45556 Precision: 0.16949 Recall: 1.00000 F1: 0.28986 F2: 0.50505 Total predictions: 9000 True positives: 1000 False positives: 4900 False negatives: 0 True negatives: 3100 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'bonus'] Accuracy: 0.44491 Precision: 0.24673 Recall: 1.00000 F1: 0.39580 F2: 0.62089 Total predictions: 11000 True positives: 2000 False positives: 6106 False negatives: 0 True negatives: 2894 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'total_stock_value'] Accuracy: 0.35214 Precision: 0.18067 Recall: 1.00000 F1: 0.30604 F2: 0.52438 Total predictions: 14000 True positives: 2000 False positives: 9070 False negatives: 0 True negatives: 2930 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.40692 Precision: 0.21937 Recall: 1.00000 F1: 0.35981 F2: 0.58421 Total predictions: 12000 True positives: 2000 False positives: 7117 False negatives: 0 True negatives: 2883 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.40567 Precision: 0.21058 Recall: 0.93350 F1: 0.34364 F2: 0.55348 Total predictions: 12000 True positives: 1867 False positives: 6999 False negatives: 133 True negatives: 3001 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'restricted_stock'] Accuracy: 0.37400 Precision: 0.19674 Recall: 0.99550 F1: 0.32855 F2: 0.54939 Total predictions: 13000 True positives: 1991 False positives: 8129 False negatives: 9 True negatives: 2871 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'salary'] Accuracy: 0.40958 Precision: 0.21965 Recall: 0.99600 F1: 0.35992 F2: 0.58351 Total predictions: 12000 True positives: 1992 False positives: 7077 False negatives: 8 True negatives: 2923 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'total_payments'] Accuracy: 0.36338 Precision: 0.18863 Recall: 0.95050 F1: 0.31479 F2: 0.52578 Total predictions: 13000 True positives: 1901 False positives: 8177 False negatives: 99 True negatives: 2823 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'director_fees', 'exercised_stock_options'] Accuracy: 0.37577 Precision: 0.19773 Recall: 1.00000 F1: 0.33017 F2: 0.55203 Total predictions: 13000 True positives: 2000 False positives: 8115 False negatives: 0 True negatives: 2885 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'bonus'] Accuracy: 0.36320 Precision: 0.23901 Recall: 1.00000 F1: 0.38580 F2: 0.61095 Total predictions: 10000 True positives: 2000 False positives: 6368 False negatives: 0 True negatives: 1632 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.27985 Precision: 0.17603 Recall: 1.00000 F1: 0.29936 F2: 0.51648 Total predictions: 13000 True positives: 2000 False positives: 9362 False negatives: 0 True negatives: 1638 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.33791 Precision: 0.21545 Recall: 1.00000 F1: 0.35452 F2: 0.57860 Total predictions: 11000 True positives: 2000 False positives: 7283 False negatives: 0 True negatives: 1717 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.35470 Precision: 0.22718 Recall: 0.92700 F1: 0.36492 F2: 0.57360 Total predictions: 10000 True positives: 1854 False positives: 6307 False negatives: 146 True negatives: 1693 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30750 Precision: 0.19375 Recall: 0.99800 F1: 0.32450 F2: 0.54530 Total predictions: 12000 True positives: 1996 False positives: 8306 False negatives: 4 True negatives: 1694 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'salary'] Accuracy: 0.34736 Precision: 0.21721 Recall: 0.99450 F1: 0.35655 F2: 0.57965 Total predictions: 11000 True positives: 1989 False positives: 7168 False negatives: 11 True negatives: 1832 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.30825 Precision: 0.19416 Recall: 1.00000 F1: 0.32518 F2: 0.54642 Total predictions: 12000 True positives: 2000 False positives: 8301 False negatives: 0 True negatives: 1699 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'total_stock_value'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.31600 Precision: 0.19592 Recall: 1.00000 F1: 0.32765 F2: 0.54921 Total predictions: 12000 True positives: 2000 False positives: 8208 False negatives: 0 True negatives: 1792 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.32127 Precision: 0.20339 Recall: 0.93700 F1: 0.33423 F2: 0.54432 Total predictions: 11000 True positives: 1874 False positives: 7340 False negatives: 126 True negatives: 1660 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'restricted_stock'] Accuracy: 0.30908 Precision: 0.19405 Recall: 0.99750 F1: 0.32489 F2: 0.54565 Total predictions: 12000 True positives: 1995 False positives: 8286 False negatives: 5 True negatives: 1714 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'salary'] Accuracy: 0.34727 Precision: 0.21713 Recall: 0.99400 F1: 0.35640 F2: 0.57939 Total predictions: 11000 True positives: 1988 False positives: 7168 False negatives: 12 True negatives: 1832 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'total_payments'] Accuracy: 0.27762 Precision: 0.17043 Recall: 0.95550 F1: 0.28926 F2: 0.49732 Total predictions: 13000 True positives: 1911 False positives: 9302 False negatives: 89 True negatives: 1698 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'bonus', 'exercised_stock_options'] Accuracy: 0.28477 Precision: 0.17702 Recall: 1.00000 F1: 0.30080 F2: 0.51819 Total predictions: 13000 True positives: 2000 False positives: 9298 False negatives: 0 True negatives: 1702 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26393 Precision: 0.16254 Recall: 1.00000 F1: 0.27962 F2: 0.49249 Total predictions: 14000 True positives: 2000 False positives: 10305 False negatives: 0 True negatives: 1695 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.27114 Precision: 0.16388 Recall: 1.00000 F1: 0.28161 F2: 0.49495 Total predictions: 14000 True positives: 2000 False positives: 10204 False negatives: 0 True negatives: 1796 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock'] Accuracy: 0.27985 Precision: 0.17603 Recall: 1.00000 F1: 0.29936 F2: 0.51648 Total predictions: 13000 True positives: 2000 False positives: 9362 False negatives: 0 True negatives: 1638 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'total_payments'] Accuracy: 0.27280 Precision: 0.14538 Recall: 0.91300 F1: 0.25082 F2: 0.44407 Total predictions: 15000 True positives: 1826 False positives: 10734 False negatives: 174 True negatives: 2266 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.27985 Precision: 0.17603 Recall: 1.00000 F1: 0.29936 F2: 0.51648 Total predictions: 13000 True positives: 2000 False positives: 9362 False negatives: 0 True negatives: 1638 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.33218 Precision: 0.20684 Recall: 0.94300 F1: 0.33927 F2: 0.55088 Total predictions: 11000 True positives: 1886 False positives: 7232 False negatives: 114 True negatives: 1768 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.28931 Precision: 0.17680 Recall: 0.99000 F1: 0.30002 F2: 0.51565 Total predictions: 13000 True positives: 1980 False positives: 9219 False negatives: 20 True negatives: 1781 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31792 Precision: 0.19541 Recall: 0.99200 F1: 0.32650 F2: 0.54647 Total predictions: 12000 True positives: 1984 False positives: 8169 False negatives: 16 True negatives: 1831 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26336 Precision: 0.15708 Recall: 0.95200 F1: 0.26967 F2: 0.47314 Total predictions: 14000 True positives: 1904 False positives: 10217 False negatives: 96 True negatives: 1783 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.28231 Precision: 0.17652 Recall: 1.00000 F1: 0.30008 F2: 0.51733 Total predictions: 13000 True positives: 2000 False positives: 9330 False negatives: 0 True negatives: 1670 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29642 Precision: 0.18358 Recall: 0.93450 F1: 0.30687 F2: 0.51400 Total predictions: 12000 True positives: 1869 False positives: 8312 False negatives: 131 True negatives: 1688 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30783 Precision: 0.18621 Recall: 0.93550 F1: 0.31059 F2: 0.51834 Total predictions: 12000 True positives: 1871 False positives: 8177 False negatives: 129 True negatives: 1823 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26036 Precision: 0.15552 Recall: 0.94300 F1: 0.26701 F2: 0.46852 Total predictions: 14000 True positives: 1886 False positives: 10241 False negatives: 114 True negatives: 1759 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28746 Precision: 0.17757 Recall: 1.00000 F1: 0.30159 F2: 0.51913 Total predictions: 13000 True positives: 2000 False positives: 9263 False negatives: 0 True negatives: 1737 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'salary'] Accuracy: 0.30350 Precision: 0.19202 Recall: 0.99100 F1: 0.32170 F2: 0.54088 Total predictions: 12000 True positives: 1982 False positives: 8340 False negatives: 18 True negatives: 1660 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'total_payments'] Accuracy: 0.25493 Precision: 0.15387 Recall: 0.93700 F1: 0.26433 F2: 0.46434 Total predictions: 14000 True positives: 1874 False positives: 10305 False negatives: 126 True negatives: 1695 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.27985 Precision: 0.17603 Recall: 1.00000 F1: 0.29936 F2: 0.51648 Total predictions: 13000 True positives: 2000 False positives: 9362 False negatives: 0 True negatives: 1638 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary', 'total_payments'] Accuracy: 0.27700 Precision: 0.17013 Recall: 0.95400 F1: 0.28876 F2: 0.49649 Total predictions: 13000 True positives: 1908 False positives: 9307 False negatives: 92 True negatives: 1693 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'salary', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock_deferred', 'total_payments', 'exercised_stock_options'] Accuracy: 0.27929 Precision: 0.15475 Recall: 0.90650 F1: 0.26436 F2: 0.45978 Total predictions: 14000 True positives: 1813 False positives: 9903 False negatives: 187 True negatives: 2097 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.77267 Precision: 0.13008 Recall: 0.06400 F1: 0.08579 F2: 0.07124 Total predictions: 12000 True positives: 128 False positives: 856 False negatives: 1872 True negatives: 9144 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.31675 Precision: 0.18771 Recall: 0.93150 F1: 0.31245 F2: 0.51967 Total predictions: 12000 True positives: 1863 False positives: 8062 False negatives: 137 True negatives: 1938 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.24327 Precision: 0.18531 Recall: 0.93100 F1: 0.30910 F2: 0.51585 Total predictions: 11000 True positives: 1862 False positives: 8186 False negatives: 138 True negatives: 814 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.77182 Precision: 0.30047 Recall: 0.19200 F1: 0.23429 F2: 0.20694 Total predictions: 11000 True positives: 384 False positives: 894 False negatives: 1616 True negatives: 8106 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.82643 Precision: 0.34902 Recall: 0.24850 F1: 0.29030 F2: 0.26369 Total predictions: 14000 True positives: 497 False positives: 927 False negatives: 1503 True negatives: 11073 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.75718 Precision: 0.26522 Recall: 0.18950 F1: 0.22106 F2: 0.20098 Total predictions: 11000 True positives: 379 False positives: 1050 False negatives: 1621 True negatives: 7950 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.70445 Precision: 0.17540 Recall: 0.16900 F1: 0.17214 F2: 0.17024 Total predictions: 11000 True positives: 338 False positives: 1589 False negatives: 1662 True negatives: 7411 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.79369 Precision: 0.23850 Recall: 0.15550 F1: 0.18826 F2: 0.16713 Total predictions: 13000 True positives: 311 False positives: 993 False negatives: 1689 True negatives: 10007 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.79425 Precision: 0.31165 Recall: 0.19400 F1: 0.23914 F2: 0.20984 Total predictions: 12000 True positives: 388 False positives: 857 False negatives: 1612 True negatives: 9143 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.81943 Precision: 0.16667 Recall: 0.06600 F1: 0.09456 F2: 0.07507 Total predictions: 14000 True positives: 132 False positives: 660 False negatives: 1868 True negatives: 11340 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.81831 Precision: 0.36652 Recall: 0.24850 F1: 0.29619 F2: 0.26560 Total predictions: 13000 True positives: 497 False positives: 859 False negatives: 1503 True negatives: 10141 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.27338 Precision: 0.16729 Recall: 0.93600 F1: 0.28385 F2: 0.48775 Total predictions: 13000 True positives: 1872 False positives: 9318 False negatives: 128 True negatives: 1682 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.18892 Precision: 0.16228 Recall: 0.92900 F1: 0.27630 F2: 0.47766 Total predictions: 12000 True positives: 1858 False positives: 9591 False negatives: 142 True negatives: 409 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.78342 Precision: 0.20894 Recall: 0.10750 F1: 0.14196 F2: 0.11906 Total predictions: 12000 True positives: 215 False positives: 814 False negatives: 1785 True negatives: 9186 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.83221 Precision: 0.33553 Recall: 0.17800 F1: 0.23260 F2: 0.19645 Total predictions: 14000 True positives: 356 False positives: 705 False negatives: 1644 True negatives: 11295 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.77325 Precision: 0.04076 Recall: 0.01600 F1: 0.02298 F2: 0.01821 Total predictions: 12000 True positives: 32 False positives: 753 False negatives: 1968 True negatives: 9247 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.76867 Precision: 0.02798 Recall: 0.01150 F1: 0.01630 F2: 0.01304 Total predictions: 12000 True positives: 23 False positives: 799 False negatives: 1977 True negatives: 9201 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.79262 Precision: 0.12500 Recall: 0.05800 F1: 0.07923 F2: 0.06496 Total predictions: 13000 True positives: 116 False positives: 812 False negatives: 1884 True negatives: 10188 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.79275 Precision: 0.16039 Recall: 0.05750 F1: 0.08465 F2: 0.06596 Total predictions: 12000 True positives: 115 False positives: 602 False negatives: 1885 True negatives: 9398 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.82121 Precision: 0.15406 Recall: 0.05600 F1: 0.08214 F2: 0.06417 Total predictions: 14000 True positives: 112 False positives: 615 False negatives: 1888 True negatives: 11385 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.83521 Precision: 0.35140 Recall: 0.18150 F1: 0.23937 F2: 0.20093 Total predictions: 14000 True positives: 363 False positives: 670 False negatives: 1637 True negatives: 11330 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.29850 Precision: 0.19198 Recall: 1.00000 F1: 0.32211 F2: 0.54295 Total predictions: 12000 True positives: 2000 False positives: 8418 False negatives: 0 True negatives: 1582 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.28077 Precision: 0.17621 Recall: 1.00000 F1: 0.29963 F2: 0.51680 Total predictions: 13000 True positives: 2000 False positives: 9350 False negatives: 0 True negatives: 1650 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.24940 Precision: 0.14781 Recall: 0.97150 F1: 0.25659 F2: 0.45945 Total predictions: 15000 True positives: 1943 False positives: 11202 False negatives: 57 True negatives: 1798 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29717 Precision: 0.19073 Recall: 0.99200 F1: 0.31995 F2: 0.53907 Total predictions: 12000 True positives: 1984 False positives: 8418 False negatives: 16 True negatives: 1582 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29042 Precision: 0.18048 Recall: 0.92000 F1: 0.30176 F2: 0.50563 Total predictions: 12000 True positives: 1840 False positives: 8355 False negatives: 160 True negatives: 1645 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.25807 Precision: 0.15876 Recall: 0.97550 F1: 0.27308 F2: 0.48080 Total predictions: 14000 True positives: 1951 False positives: 10338 False negatives: 49 True negatives: 1662 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.27654 Precision: 0.17410 Recall: 0.98900 F1: 0.29609 F2: 0.51082 Total predictions: 13000 True positives: 1978 False positives: 9383 False negatives: 22 True negatives: 1617 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.66750 Precision: 0.22869 Recall: 0.55950 F1: 0.32468 F2: 0.43396 Total predictions: 14000 True positives: 1119 False positives: 3774 False negatives: 881 True negatives: 8226 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.25407 Precision: 0.15743 Recall: 0.97000 F1: 0.27089 F2: 0.47729 Total predictions: 14000 True positives: 1940 False positives: 10383 False negatives: 60 True negatives: 1617 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.19900 Precision: 0.17224 Recall: 1.00000 F1: 0.29386 F2: 0.50989 Total predictions: 12000 True positives: 2000 False positives: 9612 False negatives: 0 True negatives: 388 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21371 Precision: 0.15015 Recall: 0.96650 F1: 0.25992 F2: 0.46302 Total predictions: 14000 True positives: 1933 False positives: 10941 False negatives: 67 True negatives: 1059 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21800 Precision: 0.18823 Recall: 0.99650 F1: 0.31665 F2: 0.53610 Total predictions: 11000 True positives: 1993 False positives: 8595 False negatives: 7 True negatives: 405 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20891 Precision: 0.17896 Recall: 0.93400 F1: 0.30037 F2: 0.50656 Total predictions: 11000 True positives: 1868 False positives: 8570 False negatives: 132 True negatives: 430 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.18438 Precision: 0.15733 Recall: 0.98750 F1: 0.27142 F2: 0.48047 Total predictions: 13000 True positives: 1975 False positives: 10578 False negatives: 25 True negatives: 422 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.20033 Precision: 0.17168 Recall: 0.99300 F1: 0.29275 F2: 0.50746 Total predictions: 12000 True positives: 1986 False positives: 9582 False negatives: 14 True negatives: 418 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.22471 Precision: 0.14212 Recall: 0.87900 F1: 0.24468 F2: 0.43152 Total predictions: 14000 True positives: 1758 False positives: 10612 False negatives: 242 True negatives: 1388 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.21885 Precision: 0.16125 Recall: 0.97050 F1: 0.27655 F2: 0.48435 Total predictions: 13000 True positives: 1941 False positives: 10096 False negatives: 59 True negatives: 904 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.82864 Precision: 0.37333 Recall: 0.29400 F1: 0.32895 F2: 0.30705 Total predictions: 14000 True positives: 588 False positives: 987 False negatives: 1412 True negatives: 11013 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79509 Precision: 0.38918 Recall: 0.22300 F1: 0.28353 F2: 0.24382 Total predictions: 11000 True positives: 446 False positives: 700 False negatives: 1554 True negatives: 8300 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.77382 Precision: 0.27899 Recall: 0.15400 F1: 0.19845 F2: 0.16916 Total predictions: 11000 True positives: 308 False positives: 796 False negatives: 1692 True negatives: 8204 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.79792 Precision: 0.29550 Recall: 0.22650 F1: 0.25644 F2: 0.23760 Total predictions: 13000 True positives: 453 False positives: 1080 False negatives: 1547 True negatives: 9920 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.80692 Precision: 0.36060 Recall: 0.20500 F1: 0.26140 F2: 0.22436 Total predictions: 12000 True positives: 410 False positives: 727 False negatives: 1590 True negatives: 9273 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.82043 Precision: 0.25800 Recall: 0.13700 F1: 0.17897 F2: 0.15118 Total predictions: 14000 True positives: 274 False positives: 788 False negatives: 1726 True negatives: 11212 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.82538 Precision: 0.40952 Recall: 0.30550 F1: 0.34994 F2: 0.32185 Total predictions: 13000 True positives: 611 False positives: 881 False negatives: 1389 True negatives: 10119 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.82579 Precision: 0.33990 Recall: 0.23300 F1: 0.27648 F2: 0.24864 Total predictions: 14000 True positives: 466 False positives: 905 False negatives: 1534 True negatives: 11095 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.82600 Precision: 0.34041 Recall: 0.23250 F1: 0.27629 F2: 0.24824 Total predictions: 14000 True positives: 465 False positives: 901 False negatives: 1535 True negatives: 11099 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.82921 Precision: 0.35844 Recall: 0.24750 F1: 0.29281 F2: 0.26383 Total predictions: 14000 True positives: 495 False positives: 886 False negatives: 1505 True negatives: 11114 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.82593 Precision: 0.33969 Recall: 0.23150 F1: 0.27535 F2: 0.24725 Total predictions: 14000 True positives: 463 False positives: 900 False negatives: 1537 True negatives: 11100 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.83933 Precision: 0.31397 Recall: 0.17300 F1: 0.22308 F2: 0.19007 Total predictions: 15000 True positives: 346 False positives: 756 False negatives: 1654 True negatives: 12244 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83443 Precision: 0.38659 Recall: 0.27100 F1: 0.31864 F2: 0.28824 Total predictions: 14000 True positives: 542 False positives: 860 False negatives: 1458 True negatives: 11140 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.75509 Precision: 0.12848 Recall: 0.06000 F1: 0.08180 F2: 0.06716 Total predictions: 11000 True positives: 120 False positives: 814 False negatives: 1880 True negatives: 8186 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.79477 Precision: 0.22533 Recall: 0.13700 F1: 0.17040 F2: 0.14865 Total predictions: 13000 True positives: 274 False positives: 942 False negatives: 1726 True negatives: 10058 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79342 Precision: 0.26122 Recall: 0.13100 F1: 0.17449 F2: 0.14551 Total predictions: 12000 True positives: 262 False positives: 741 False negatives: 1738 True negatives: 9259 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82571 Precision: 0.17647 Recall: 0.06000 F1: 0.08955 F2: 0.06912 Total predictions: 14000 True positives: 120 False positives: 560 False negatives: 1880 True negatives: 11440 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82492 Precision: 0.38144 Recall: 0.22200 F1: 0.28066 F2: 0.24225 Total predictions: 13000 True positives: 444 False positives: 720 False negatives: 1556 True negatives: 10280 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78823 Precision: 0.20143 Recall: 0.12700 F1: 0.15578 F2: 0.13713 Total predictions: 13000 True positives: 254 False positives: 1007 False negatives: 1746 True negatives: 9993 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78417 Precision: 0.22936 Recall: 0.12500 F1: 0.16181 F2: 0.13751 Total predictions: 12000 True positives: 250 False positives: 840 False negatives: 1750 True negatives: 9160 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82693 Precision: 0.17906 Recall: 0.05900 F1: 0.08876 F2: 0.06814 Total predictions: 14000 True positives: 118 False positives: 541 False negatives: 1882 True negatives: 11459 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82623 Precision: 0.38670 Recall: 0.22100 F1: 0.28126 F2: 0.24171 Total predictions: 13000 True positives: 442 False positives: 701 False negatives: 1558 True negatives: 10299 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.79946 Precision: 0.24126 Recall: 0.14150 F1: 0.17838 F2: 0.15426 Total predictions: 13000 True positives: 283 False positives: 890 False negatives: 1717 True negatives: 10110 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81729 Precision: 0.17254 Recall: 0.07350 F1: 0.10309 F2: 0.08303 Total predictions: 14000 True positives: 147 False positives: 705 False negatives: 1853 True negatives: 11295 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.82543 Precision: 0.34732 Recall: 0.25250 F1: 0.29241 F2: 0.26708 Total predictions: 14000 True positives: 505 False positives: 949 False negatives: 1495 True negatives: 11051 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.82371 Precision: 0.17680 Recall: 0.06400 F1: 0.09398 F2: 0.07336 Total predictions: 14000 True positives: 128 False positives: 596 False negatives: 1872 True negatives: 11404 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.82885 Precision: 0.40053 Recall: 0.22650 F1: 0.28936 F2: 0.24806 Total predictions: 13000 True positives: 453 False positives: 678 False negatives: 1547 True negatives: 10322 ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84873 Precision: 0.36205 Recall: 0.17650 F1: 0.23731 F2: 0.19666 Total predictions: 15000 True positives: 353 False positives: 622 False negatives: 1647 True negatives: 12378 ['poi', 'long_term_incentive', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'director_fees'] Accuracy: 0.30854 Precision: 0.16767 Recall: 0.88150 F1: 0.28174 F2: 0.47610 Total predictions: 13000 True positives: 1763 False positives: 8752 False negatives: 237 True negatives: 2248 ['poi', 'long_term_incentive', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.21533 Precision: 0.16156 Recall: 0.88500 F1: 0.27323 F2: 0.46687 Total predictions: 12000 True positives: 1770 False positives: 9186 False negatives: 230 True negatives: 814 ['poi', 'long_term_incentive', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'bonus'] Accuracy: 0.80367 Precision: 0.31420 Recall: 0.15050 F1: 0.20352 F2: 0.16801 Total predictions: 12000 True positives: 301 False positives: 657 False negatives: 1699 True negatives: 9343 ['poi', 'long_term_incentive', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.84086 Precision: 0.38531 Recall: 0.19150 F1: 0.25585 F2: 0.21292 Total predictions: 14000 True positives: 383 False positives: 611 False negatives: 1617 True negatives: 11389 ['poi', 'long_term_incentive', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.77700 Precision: 0.12939 Recall: 0.05900 F1: 0.08104 F2: 0.06620 Total predictions: 12000 True positives: 118 False positives: 794 False negatives: 1882 True negatives: 9206 ['poi', 'long_term_incentive', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.75883 Precision: 0.09437 Recall: 0.05200 F1: 0.06705 F2: 0.05713 Total predictions: 12000 True positives: 104 False positives: 998 False negatives: 1896 True negatives: 9002 ['poi', 'long_term_incentive', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.80031 Precision: 0.18565 Recall: 0.08800 F1: 0.11940 F2: 0.09835 Total predictions: 13000 True positives: 176 False positives: 772 False negatives: 1824 True negatives: 10228 ['poi', 'long_term_incentive', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'salary'] Accuracy: 0.79533 Precision: 0.20769 Recall: 0.08100 F1: 0.11655 F2: 0.09226 Total predictions: 12000 True positives: 162 False positives: 618 False negatives: 1838 True negatives: 9382 ['poi', 'long_term_incentive', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'total_payments'] Accuracy: 0.81536 Precision: 0.15629 Recall: 0.06650 F1: 0.09330 F2: 0.07513 Total predictions: 14000 True positives: 133 False positives: 718 False negatives: 1867 True negatives: 11282 ['poi', 'long_term_incentive', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.83500 Precision: 0.35960 Recall: 0.19850 F1: 0.25580 F2: 0.21804 Total predictions: 14000 True positives: 397 False positives: 707 False negatives: 1603 True negatives: 11293 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.31117 Precision: 0.18670 Recall: 0.93350 F1: 0.31117 F2: 0.51861 Total predictions: 12000 True positives: 1867 False positives: 8133 False negatives: 133 True negatives: 1867 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.30046 Precision: 0.17139 Recall: 0.92500 F1: 0.28920 F2: 0.49218 Total predictions: 13000 True positives: 1850 False positives: 8944 False negatives: 150 True negatives: 2056 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.28547 Precision: 0.15044 Recall: 0.93800 F1: 0.25930 F2: 0.45823 Total predictions: 15000 True positives: 1876 False positives: 10594 False negatives: 124 True negatives: 2406 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.31708 Precision: 0.18804 Recall: 0.93350 F1: 0.31302 F2: 0.52066 Total predictions: 12000 True positives: 1867 False positives: 8062 False negatives: 133 True negatives: 1938 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.31117 Precision: 0.18670 Recall: 0.93350 F1: 0.31117 F2: 0.51861 Total predictions: 12000 True positives: 1867 False positives: 8133 False negatives: 133 True negatives: 1867 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.29064 Precision: 0.15912 Recall: 0.92550 F1: 0.27155 F2: 0.47140 Total predictions: 14000 True positives: 1851 False positives: 9782 False negatives: 149 True negatives: 2218 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29677 Precision: 0.17136 Recall: 0.93100 F1: 0.28945 F2: 0.49348 Total predictions: 13000 True positives: 1862 False positives: 9004 False negatives: 138 True negatives: 1996 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.31050 Precision: 0.15820 Recall: 0.88550 F1: 0.26844 F2: 0.46132 Total predictions: 14000 True positives: 1771 False positives: 9424 False negatives: 229 True negatives: 2576 ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.29714 Precision: 0.16265 Recall: 0.94500 F1: 0.27753 F2: 0.48165 Total predictions: 14000 True positives: 1890 False positives: 9730 False negatives: 110 True negatives: 2270 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.22417 Precision: 0.17013 Recall: 0.94250 F1: 0.28823 F2: 0.49397 Total predictions: 12000 True positives: 1885 False positives: 9195 False negatives: 115 True negatives: 805 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19871 Precision: 0.14442 Recall: 0.93600 F1: 0.25023 F2: 0.44652 Total predictions: 14000 True positives: 1872 False positives: 11090 False negatives: 128 True negatives: 910 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.24382 Precision: 0.18573 Recall: 0.93350 F1: 0.30982 F2: 0.51712 Total predictions: 11000 True positives: 1867 False positives: 8185 False negatives: 133 True negatives: 815 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.23627 Precision: 0.18421 Recall: 0.93350 F1: 0.30770 F2: 0.51475 Total predictions: 11000 True positives: 1867 False positives: 8268 False negatives: 133 True negatives: 732 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21000 Precision: 0.15519 Recall: 0.93050 F1: 0.26601 F2: 0.46544 Total predictions: 13000 True positives: 1861 False positives: 10131 False negatives: 139 True negatives: 869 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.22333 Precision: 0.16938 Recall: 0.93750 F1: 0.28692 F2: 0.49161 Total predictions: 12000 True positives: 1875 False positives: 9195 False negatives: 125 True negatives: 805 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.24107 Precision: 0.14030 Recall: 0.84100 F1: 0.24047 F2: 0.42073 Total predictions: 14000 True positives: 1682 False positives: 10307 False negatives: 318 True negatives: 1693 ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20869 Precision: 0.15645 Recall: 0.94350 F1: 0.26840 F2: 0.47032 Total predictions: 13000 True positives: 1887 False positives: 10174 False negatives: 113 True negatives: 826 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.84029 Precision: 0.41655 Recall: 0.29450 F1: 0.34505 F2: 0.31283 Total predictions: 14000 True positives: 589 False positives: 825 False negatives: 1411 True negatives: 11175 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79109 Precision: 0.37043 Recall: 0.21300 F1: 0.27048 F2: 0.23279 Total predictions: 11000 True positives: 426 False positives: 724 False negatives: 1574 True negatives: 8276 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79991 Precision: 0.40703 Recall: 0.22000 F1: 0.28562 F2: 0.24226 Total predictions: 11000 True positives: 440 False positives: 641 False negatives: 1560 True negatives: 8359 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.80738 Precision: 0.32178 Recall: 0.22750 F1: 0.26655 F2: 0.24166 Total predictions: 13000 True positives: 455 False positives: 959 False negatives: 1545 True negatives: 10041 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'salary'] Accuracy: 0.82033 Precision: 0.43849 Recall: 0.27800 F1: 0.34027 F2: 0.29996 Total predictions: 12000 True positives: 556 False positives: 712 False negatives: 1444 True negatives: 9288 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.83221 Precision: 0.29446 Recall: 0.12500 F1: 0.17550 F2: 0.14126 Total predictions: 14000 True positives: 250 False positives: 599 False negatives: 1750 True negatives: 11401 ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.83331 Precision: 0.44221 Recall: 0.31950 F1: 0.37097 F2: 0.33827 Total predictions: 13000 True positives: 639 False positives: 806 False negatives: 1361 True negatives: 10194 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84764 Precision: 0.44580 Recall: 0.27350 F1: 0.33901 F2: 0.29641 Total predictions: 14000 True positives: 547 False positives: 680 False negatives: 1453 True negatives: 11320 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84721 Precision: 0.44327 Recall: 0.27150 F1: 0.33674 F2: 0.29431 Total predictions: 14000 True positives: 543 False positives: 682 False negatives: 1457 True negatives: 11318 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85371 Precision: 0.48020 Recall: 0.29100 F1: 0.36239 F2: 0.31589 Total predictions: 14000 True positives: 582 False positives: 630 False negatives: 1418 True negatives: 11370 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.83993 Precision: 0.40259 Recall: 0.24900 F1: 0.30769 F2: 0.26957 Total predictions: 14000 True positives: 498 False positives: 739 False negatives: 1502 True negatives: 11261 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.83913 Precision: 0.31902 Recall: 0.18200 F1: 0.23177 F2: 0.19910 Total predictions: 15000 True positives: 364 False positives: 777 False negatives: 1636 True negatives: 12223 ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83764 Precision: 0.40159 Recall: 0.27850 F1: 0.32890 F2: 0.29669 Total predictions: 14000 True positives: 557 False positives: 830 False negatives: 1443 True negatives: 11170 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.71882 Precision: 0.18538 Recall: 0.16100 F1: 0.17233 F2: 0.16535 Total predictions: 11000 True positives: 322 False positives: 1415 False negatives: 1678 True negatives: 7585 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80546 Precision: 0.27642 Recall: 0.16350 F1: 0.20547 F2: 0.17805 Total predictions: 13000 True positives: 327 False positives: 856 False negatives: 1673 True negatives: 10144 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80583 Precision: 0.37462 Recall: 0.24650 F1: 0.29735 F2: 0.26460 Total predictions: 12000 True positives: 493 False positives: 823 False negatives: 1507 True negatives: 9177 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82500 Precision: 0.18750 Recall: 0.06750 F1: 0.09926 F2: 0.07741 Total predictions: 14000 True positives: 135 False positives: 585 False negatives: 1865 True negatives: 11415 ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83131 Precision: 0.42695 Recall: 0.28200 F1: 0.33966 F2: 0.30254 Total predictions: 13000 True positives: 564 False positives: 757 False negatives: 1436 True negatives: 10243 ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80177 Precision: 0.25736 Recall: 0.15300 F1: 0.19191 F2: 0.16650 Total predictions: 13000 True positives: 306 False positives: 883 False negatives: 1694 True negatives: 10117 ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.75250 Precision: 0.22158 Recall: 0.19300 F1: 0.20631 F2: 0.19811 Total predictions: 12000 True positives: 386 False positives: 1356 False negatives: 1614 True negatives: 8644 ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82421 Precision: 0.18294 Recall: 0.06650 F1: 0.09754 F2: 0.07620 Total predictions: 14000 True positives: 133 False positives: 594 False negatives: 1867 True negatives: 11406 ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83354 Precision: 0.43523 Recall: 0.27550 F1: 0.33742 F2: 0.29732 Total predictions: 13000 True positives: 551 False positives: 715 False negatives: 1449 True negatives: 10285 ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.81877 Precision: 0.36795 Recall: 0.24800 F1: 0.29630 F2: 0.26530 Total predictions: 13000 True positives: 496 False positives: 852 False negatives: 1504 True negatives: 10148 ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.81800 Precision: 0.19144 Recall: 0.08500 F1: 0.11773 F2: 0.09563 Total predictions: 14000 True positives: 170 False positives: 718 False negatives: 1830 True negatives: 11282 ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83943 Precision: 0.41329 Recall: 0.29550 F1: 0.34461 F2: 0.31336 Total predictions: 14000 True positives: 591 False positives: 839 False negatives: 1409 True negatives: 11161 ['poi', 'long_term_incentive', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.82907 Precision: 0.21888 Recall: 0.07650 F1: 0.11338 F2: 0.08794 Total predictions: 14000 True positives: 153 False positives: 546 False negatives: 1847 True negatives: 11454 ['poi', 'long_term_incentive', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.82815 Precision: 0.40426 Recall: 0.24700 F1: 0.30664 F2: 0.26784 Total predictions: 13000 True positives: 494 False positives: 728 False negatives: 1506 True negatives: 10272 ['poi', 'long_term_incentive', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84487 Precision: 0.34734 Recall: 0.18600 F1: 0.24227 F2: 0.20505 Total predictions: 15000 True positives: 372 False positives: 699 False negatives: 1628 True negatives: 12301 ['poi', 'long_term_incentive', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.32300 Precision: 0.20355 Recall: 0.93500 F1: 0.33432 F2: 0.54402 Total predictions: 11000 True positives: 1870 False positives: 7317 False negatives: 130 True negatives: 1683 ['poi', 'long_term_incentive', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'bonus'] Accuracy: 0.32682 Precision: 0.20545 Recall: 0.94250 F1: 0.33736 F2: 0.54876 Total predictions: 11000 True positives: 1885 False positives: 7290 False negatives: 115 True negatives: 1710 ['poi', 'long_term_incentive', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.51447 Precision: 0.16601 Recall: 0.65650 F1: 0.26501 F2: 0.41266 Total predictions: 15000 True positives: 1313 False positives: 6596 False negatives: 687 True negatives: 6404 ['poi', 'long_term_incentive', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27631 Precision: 0.16804 Recall: 0.93750 F1: 0.28500 F2: 0.48935 Total predictions: 13000 True positives: 1875 False positives: 9283 False negatives: 125 True negatives: 1717 ['poi', 'long_term_incentive', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28808 Precision: 0.17529 Recall: 0.88300 F1: 0.29251 F2: 0.48852 Total predictions: 12000 True positives: 1766 False positives: 8309 False negatives: 234 True negatives: 1691 ['poi', 'long_term_incentive', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.26762 Precision: 0.16718 Recall: 0.94450 F1: 0.28408 F2: 0.48940 Total predictions: 13000 True positives: 1889 False positives: 9410 False negatives: 111 True negatives: 1590 ['poi', 'long_term_incentive', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'salary'] Accuracy: 0.29992 Precision: 0.18403 Recall: 0.93200 F1: 0.30736 F2: 0.51409 Total predictions: 12000 True positives: 1864 False positives: 8265 False negatives: 136 True negatives: 1735 ['poi', 'long_term_incentive', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'total_payments'] Accuracy: 0.74438 Precision: 0.26814 Recall: 0.38250 F1: 0.31527 F2: 0.35244 Total predictions: 13000 True positives: 765 False positives: 2088 False negatives: 1235 True negatives: 8912 ['poi', 'long_term_incentive', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.32721 Precision: 0.15592 Recall: 0.84050 F1: 0.26305 F2: 0.44753 Total predictions: 14000 True positives: 1681 False positives: 9100 False negatives: 319 True negatives: 2900 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.22880 Precision: 0.19912 Recall: 0.94500 F1: 0.32892 F2: 0.54025 Total predictions: 10000 True positives: 1890 False positives: 7602 False negatives: 110 True negatives: 398 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.21621 Precision: 0.14316 Recall: 0.90000 F1: 0.24703 F2: 0.43747 Total predictions: 14000 True positives: 1800 False positives: 10773 False negatives: 200 True negatives: 1227 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21109 Precision: 0.18042 Recall: 0.94250 F1: 0.30286 F2: 0.51090 Total predictions: 11000 True positives: 1885 False positives: 8563 False negatives: 115 True negatives: 437 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20218 Precision: 0.17190 Recall: 0.88750 F1: 0.28801 F2: 0.48428 Total predictions: 11000 True positives: 1775 False positives: 8551 False negatives: 225 True negatives: 449 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.19208 Precision: 0.16347 Recall: 0.93450 F1: 0.27827 F2: 0.48088 Total predictions: 12000 True positives: 1869 False positives: 9564 False negatives: 131 True negatives: 436 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.21245 Precision: 0.17945 Recall: 0.93250 F1: 0.30098 F2: 0.50699 Total predictions: 11000 True positives: 1865 False positives: 8528 False negatives: 135 True negatives: 472 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22523 Precision: 0.14855 Recall: 0.85300 F1: 0.25304 F2: 0.43780 Total predictions: 13000 True positives: 1706 False positives: 9778 False negatives: 294 True negatives: 1222 ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.23015 Precision: 0.15327 Recall: 0.88500 F1: 0.26129 F2: 0.45273 Total predictions: 13000 True positives: 1770 False positives: 9778 False negatives: 230 True negatives: 1222 ['poi', 'long_term_incentive', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.83386 Precision: 0.37063 Recall: 0.23350 F1: 0.28650 F2: 0.25216 Total predictions: 14000 True positives: 467 False positives: 793 False negatives: 1533 True negatives: 11207 ['poi', 'long_term_incentive', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.78764 Precision: 0.29208 Recall: 0.11800 F1: 0.16809 F2: 0.13397 Total predictions: 11000 True positives: 236 False positives: 572 False negatives: 1764 True negatives: 8428 ['poi', 'long_term_incentive', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.77645 Precision: 0.25402 Recall: 0.11850 F1: 0.16161 F2: 0.13265 Total predictions: 11000 True positives: 237 False positives: 696 False negatives: 1763 True negatives: 8304 ['poi', 'long_term_incentive', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.78625 Precision: 0.22439 Recall: 0.11500 F1: 0.15207 F2: 0.12742 Total predictions: 12000 True positives: 230 False positives: 795 False negatives: 1770 True negatives: 9205 ['poi', 'long_term_incentive', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'salary'] Accuracy: 0.77770 Precision: 0.34492 Recall: 0.12400 F1: 0.18242 F2: 0.14222 Total predictions: 10000 True positives: 248 False positives: 471 False negatives: 1752 True negatives: 7529 ['poi', 'long_term_incentive', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'total_payments'] Accuracy: 0.81577 Precision: 0.28177 Recall: 0.12750 F1: 0.17556 F2: 0.14318 Total predictions: 13000 True positives: 255 False positives: 650 False negatives: 1745 True negatives: 10350 ['poi', 'long_term_incentive', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83354 Precision: 0.42279 Recall: 0.22450 F1: 0.29327 F2: 0.24774 Total predictions: 13000 True positives: 449 False positives: 613 False negatives: 1551 True negatives: 10387 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84157 Precision: 0.38574 Recall: 0.18400 F1: 0.24915 F2: 0.20549 Total predictions: 14000 True positives: 368 False positives: 586 False negatives: 1632 True negatives: 11414 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84407 Precision: 0.40151 Recall: 0.18650 F1: 0.25469 F2: 0.20887 Total predictions: 14000 True positives: 373 False positives: 556 False negatives: 1627 True negatives: 11444 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84443 Precision: 0.40409 Recall: 0.18750 F1: 0.25615 F2: 0.21001 Total predictions: 14000 True positives: 375 False positives: 553 False negatives: 1625 True negatives: 11447 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84000 Precision: 0.37629 Recall: 0.18250 F1: 0.24579 F2: 0.20346 Total predictions: 14000 True positives: 365 False positives: 605 False negatives: 1635 True negatives: 11395 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.83840 Precision: 0.30762 Recall: 0.16950 F1: 0.21857 F2: 0.18622 Total predictions: 15000 True positives: 339 False positives: 763 False negatives: 1661 True negatives: 12237 ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83538 Precision: 0.43371 Recall: 0.22900 F1: 0.29974 F2: 0.25287 Total predictions: 13000 True positives: 458 False positives: 598 False negatives: 1542 True negatives: 10402 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.76300 Precision: 0.03379 Recall: 0.01100 F1: 0.01660 F2: 0.01272 Total predictions: 11000 True positives: 22 False positives: 629 False negatives: 1978 True negatives: 8371 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80746 Precision: 0.18043 Recall: 0.07100 F1: 0.10190 F2: 0.08080 Total predictions: 13000 True positives: 142 False positives: 645 False negatives: 1858 True negatives: 10355 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78609 Precision: 0.19304 Recall: 0.05550 F1: 0.08621 F2: 0.06472 Total predictions: 11000 True positives: 111 False positives: 464 False negatives: 1889 True negatives: 8536 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.81708 Precision: 0.17414 Recall: 0.05050 F1: 0.07829 F2: 0.05886 Total predictions: 13000 True positives: 101 False positives: 479 False negatives: 1899 True negatives: 10521 ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83785 Precision: 0.43905 Recall: 0.19450 F1: 0.26958 F2: 0.21888 Total predictions: 13000 True positives: 389 False positives: 497 False negatives: 1611 True negatives: 10503 ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77675 Precision: 0.10477 Recall: 0.04500 F1: 0.06296 F2: 0.05080 Total predictions: 12000 True positives: 90 False positives: 769 False negatives: 1910 True negatives: 9231 ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.77973 Precision: 0.18943 Recall: 0.06450 F1: 0.09623 F2: 0.07430 Total predictions: 11000 True positives: 129 False positives: 552 False negatives: 1871 True negatives: 8448 ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.81600 Precision: 0.15248 Recall: 0.04300 F1: 0.06708 F2: 0.05021 Total predictions: 13000 True positives: 86 False positives: 478 False negatives: 1914 True negatives: 10522 ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83769 Precision: 0.43529 Recall: 0.18500 F1: 0.25965 F2: 0.20904 Total predictions: 13000 True positives: 370 False positives: 480 False negatives: 1630 True negatives: 10520 ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'salary'] Accuracy: 0.79817 Precision: 0.19509 Recall: 0.06750 F1: 0.10030 F2: 0.07766 Total predictions: 12000 True positives: 135 False positives: 557 False negatives: 1865 True negatives: 9443 ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.81850 Precision: 0.17212 Recall: 0.07100 F1: 0.10053 F2: 0.08045 Total predictions: 14000 True positives: 142 False positives: 683 False negatives: 1858 True negatives: 11317 ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84136 Precision: 0.38690 Recall: 0.18900 F1: 0.25395 F2: 0.21054 Total predictions: 14000 True positives: 378 False positives: 599 False negatives: 1622 True negatives: 11401 ['poi', 'long_term_incentive', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'salary', 'total_payments'] Accuracy: 0.81285 Precision: 0.18486 Recall: 0.06350 F1: 0.09453 F2: 0.07310 Total predictions: 13000 True positives: 127 False positives: 560 False negatives: 1873 True negatives: 10440 ['poi', 'long_term_incentive', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83046 Precision: 0.38140 Recall: 0.16400 F1: 0.22937 F2: 0.18510 Total predictions: 13000 True positives: 328 False positives: 532 False negatives: 1672 True negatives: 10468 ['poi', 'long_term_incentive', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83750 Precision: 0.35722 Recall: 0.17200 F1: 0.23220 F2: 0.19190 Total predictions: 14000 True positives: 344 False positives: 619 False negatives: 1656 True negatives: 11381 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.32518 Precision: 0.21225 Recall: 1.00000 F1: 0.35017 F2: 0.57395 Total predictions: 11000 True positives: 2000 False positives: 7423 False negatives: 0 True negatives: 1577 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.25807 Precision: 0.16146 Recall: 1.00000 F1: 0.27803 F2: 0.49051 Total predictions: 14000 True positives: 2000 False positives: 10387 False negatives: 0 True negatives: 1613 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.32309 Precision: 0.21173 Recall: 1.00000 F1: 0.34947 F2: 0.57320 Total predictions: 11000 True positives: 2000 False positives: 7446 False negatives: 0 True negatives: 1554 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.31655 Precision: 0.20301 Recall: 0.94300 F1: 0.33410 F2: 0.54540 Total predictions: 11000 True positives: 1886 False positives: 7404 False negatives: 114 True negatives: 1596 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.27708 Precision: 0.17496 Recall: 0.99550 F1: 0.29761 F2: 0.51367 Total predictions: 13000 True positives: 1991 False positives: 9389 False negatives: 9 True negatives: 1611 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.30500 Precision: 0.19295 Recall: 0.99600 F1: 0.32327 F2: 0.54355 Total predictions: 12000 True positives: 1992 False positives: 8332 False negatives: 8 True negatives: 1668 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.27531 Precision: 0.17512 Recall: 1.00000 F1: 0.29804 F2: 0.51491 Total predictions: 13000 True positives: 2000 False positives: 9421 False negatives: 0 True negatives: 1579 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.39433 Precision: 0.16746 Recall: 0.89200 F1: 0.28199 F2: 0.47821 Total predictions: 15000 True positives: 1784 False positives: 8869 False negatives: 216 True negatives: 4131 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.29842 Precision: 0.19196 Recall: 1.00000 F1: 0.32209 F2: 0.54292 Total predictions: 12000 True positives: 2000 False positives: 8419 False negatives: 0 True negatives: 1581 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.29383 Precision: 0.18296 Recall: 0.93400 F1: 0.30598 F2: 0.51290 Total predictions: 12000 True positives: 1868 False positives: 8342 False negatives: 132 True negatives: 1658 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.27469 Precision: 0.17488 Recall: 0.99900 F1: 0.29765 F2: 0.51429 Total predictions: 13000 True positives: 1998 False positives: 9427 False negatives: 2 True negatives: 1573 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'salary'] Accuracy: 0.30508 Precision: 0.19303 Recall: 0.99650 F1: 0.32341 F2: 0.54379 Total predictions: 12000 True positives: 1993 False positives: 8332 False negatives: 7 True negatives: 1668 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.71554 Precision: 0.24762 Recall: 0.41650 F1: 0.31059 F2: 0.36651 Total predictions: 13000 True positives: 833 False positives: 2531 False negatives: 1167 True negatives: 8469 ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.28957 Precision: 0.16387 Recall: 0.96850 F1: 0.28032 F2: 0.48865 Total predictions: 14000 True positives: 1937 False positives: 9883 False negatives: 63 True negatives: 2117 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24533 Precision: 0.15015 Recall: 1.00000 F1: 0.26110 F2: 0.46904 Total predictions: 15000 True positives: 2000 False positives: 11320 False negatives: 0 True negatives: 1680 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.24880 Precision: 0.15074 Recall: 1.00000 F1: 0.26199 F2: 0.47019 Total predictions: 15000 True positives: 2000 False positives: 11268 False negatives: 0 True negatives: 1732 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.33150 Precision: 0.16290 Recall: 0.88900 F1: 0.27534 F2: 0.47000 Total predictions: 14000 True positives: 1778 False positives: 9137 False negatives: 222 True negatives: 2863 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.29227 Precision: 0.15739 Recall: 0.98950 F1: 0.27158 F2: 0.48095 Total predictions: 15000 True positives: 1979 False positives: 10595 False negatives: 21 True negatives: 2405 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.76693 Precision: 0.27097 Recall: 0.44250 F1: 0.33612 F2: 0.39277 Total predictions: 15000 True positives: 885 False positives: 2381 False negatives: 1115 True negatives: 10619 ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.67271 Precision: 0.22509 Recall: 0.52850 F1: 0.31571 F2: 0.41627 Total predictions: 14000 True positives: 1057 False positives: 3639 False negatives: 943 True negatives: 8361 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.29642 Precision: 0.18370 Recall: 0.93550 F1: 0.30710 F2: 0.51443 Total predictions: 12000 True positives: 1871 False positives: 8314 False negatives: 129 True negatives: 1686 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.25764 Precision: 0.16067 Recall: 0.99350 F1: 0.27661 F2: 0.48780 Total predictions: 14000 True positives: 1987 False positives: 10380 False negatives: 13 True negatives: 1620 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28169 Precision: 0.17514 Recall: 0.98900 F1: 0.29758 F2: 0.51259 Total predictions: 13000 True positives: 1978 False positives: 9316 False negatives: 22 True negatives: 1684 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.37929 Precision: 0.15373 Recall: 0.74250 F1: 0.25472 F2: 0.42044 Total predictions: 14000 True positives: 1485 False positives: 8175 False negatives: 515 True negatives: 3825 ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26293 Precision: 0.16235 Recall: 1.00000 F1: 0.27935 F2: 0.49215 Total predictions: 14000 True positives: 2000 False positives: 10319 False negatives: 0 True negatives: 1681 ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.26308 Precision: 0.16543 Recall: 0.93700 F1: 0.28121 F2: 0.48479 Total predictions: 13000 True positives: 1874 False positives: 9454 False negatives: 126 True negatives: 1546 ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29300 Precision: 0.18216 Recall: 0.92900 F1: 0.30459 F2: 0.51044 Total predictions: 12000 True positives: 1858 False positives: 8342 False negatives: 142 True negatives: 1658 ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.42150 Precision: 0.15017 Recall: 0.65450 F1: 0.24428 F2: 0.39152 Total predictions: 14000 True positives: 1309 False positives: 7408 False negatives: 691 True negatives: 4592 ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.26179 Precision: 0.16214 Recall: 1.00000 F1: 0.27904 F2: 0.49176 Total predictions: 14000 True positives: 2000 False positives: 10335 False negatives: 0 True negatives: 1665 ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.26250 Precision: 0.16172 Recall: 0.99500 F1: 0.27822 F2: 0.49003 Total predictions: 14000 True positives: 1990 False positives: 10315 False negatives: 10 True negatives: 1685 ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.73779 Precision: 0.25082 Recall: 0.42050 F1: 0.31422 F2: 0.37039 Total predictions: 14000 True positives: 841 False positives: 2512 False negatives: 1159 True negatives: 9488 ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.29750 Precision: 0.16191 Recall: 0.93800 F1: 0.27615 F2: 0.47889 Total predictions: 14000 True positives: 1876 False positives: 9711 False negatives: 124 True negatives: 2289 ['poi', 'long_term_incentive', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.66346 Precision: 0.22416 Recall: 0.48250 F1: 0.30611 F2: 0.39212 Total predictions: 13000 True positives: 965 False positives: 3340 False negatives: 1035 True negatives: 7660 ['poi', 'long_term_incentive', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.26521 Precision: 0.16272 Recall: 0.99950 F1: 0.27987 F2: 0.49273 Total predictions: 14000 True positives: 1999 False positives: 10286 False negatives: 1 True negatives: 1714 ['poi', 'long_term_incentive', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.75221 Precision: 0.26968 Recall: 0.43000 F1: 0.33147 F2: 0.38431 Total predictions: 14000 True positives: 860 False positives: 2329 False negatives: 1140 True negatives: 9671 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21843 Precision: 0.14950 Recall: 0.95350 F1: 0.25847 F2: 0.45939 Total predictions: 14000 True positives: 1907 False positives: 10849 False negatives: 93 True negatives: 1151 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.21864 Precision: 0.18877 Recall: 1.00000 F1: 0.31759 F2: 0.53778 Total predictions: 11000 True positives: 2000 False positives: 8595 False negatives: 0 True negatives: 405 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.20945 Precision: 0.18011 Recall: 0.94250 F1: 0.30242 F2: 0.51040 Total predictions: 11000 True positives: 1885 False positives: 8581 False negatives: 115 True negatives: 419 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.19925 Precision: 0.17200 Recall: 0.99750 F1: 0.29340 F2: 0.50895 Total predictions: 12000 True positives: 1995 False positives: 9604 False negatives: 5 True negatives: 396 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.23920 Precision: 0.20706 Recall: 0.99100 F1: 0.34255 F2: 0.56397 Total predictions: 10000 True positives: 1982 False positives: 7590 False negatives: 18 True negatives: 410 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22523 Precision: 0.15231 Recall: 0.88400 F1: 0.25985 F2: 0.45084 Total predictions: 13000 True positives: 1768 False positives: 9840 False negatives: 232 True negatives: 1160 ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.23192 Precision: 0.16294 Recall: 0.96500 F1: 0.27880 F2: 0.48627 Total predictions: 13000 True positives: 1930 False positives: 9915 False negatives: 70 True negatives: 1085 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.20050 Precision: 0.14818 Recall: 0.96800 F1: 0.25702 F2: 0.45953 Total predictions: 14000 True positives: 1936 False positives: 11129 False negatives: 64 True negatives: 871 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.20850 Precision: 0.14843 Recall: 0.95850 F1: 0.25706 F2: 0.45828 Total predictions: 14000 True positives: 1917 False positives: 10998 False negatives: 83 True negatives: 1002 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.22046 Precision: 0.15972 Recall: 0.95450 F1: 0.27365 F2: 0.47840 Total predictions: 13000 True positives: 1909 False positives: 10043 False negatives: 91 True negatives: 957 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.21743 Precision: 0.14999 Recall: 0.95950 F1: 0.25943 F2: 0.46143 Total predictions: 14000 True positives: 1919 False positives: 10875 False negatives: 81 True negatives: 1125 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22627 Precision: 0.13336 Recall: 0.87350 F1: 0.23139 F2: 0.41398 Total predictions: 15000 True positives: 1747 False positives: 11353 False negatives: 253 True negatives: 1647 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.22462 Precision: 0.15982 Recall: 0.94900 F1: 0.27357 F2: 0.47746 Total predictions: 13000 True positives: 1898 False positives: 9978 False negatives: 102 True negatives: 1022 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.22680 Precision: 0.19704 Recall: 0.93200 F1: 0.32531 F2: 0.53379 Total predictions: 10000 True positives: 1864 False positives: 7596 False negatives: 136 True negatives: 404 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.18562 Precision: 0.15781 Recall: 0.99000 F1: 0.27222 F2: 0.48182 Total predictions: 13000 True positives: 1980 False positives: 10567 False negatives: 20 True negatives: 433 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.21473 Precision: 0.18718 Recall: 0.99300 F1: 0.31499 F2: 0.53358 Total predictions: 11000 True positives: 1986 False positives: 8624 False negatives: 14 True negatives: 376 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21829 Precision: 0.14270 Recall: 0.89300 F1: 0.24607 F2: 0.43527 Total predictions: 14000 True positives: 1786 False positives: 10730 False negatives: 214 True negatives: 1270 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.19731 Precision: 0.15919 Recall: 0.98500 F1: 0.27409 F2: 0.48344 Total predictions: 13000 True positives: 1970 False positives: 10405 False negatives: 30 True negatives: 595 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.19033 Precision: 0.16317 Recall: 0.93450 F1: 0.27784 F2: 0.48036 Total predictions: 12000 True positives: 1869 False positives: 9585 False negatives: 131 True negatives: 415 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20655 Precision: 0.17796 Recall: 0.92950 F1: 0.29873 F2: 0.50390 Total predictions: 11000 True positives: 1859 False positives: 8587 False negatives: 141 True negatives: 413 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.23277 Precision: 0.15403 Recall: 0.88750 F1: 0.26250 F2: 0.45457 Total predictions: 13000 True positives: 1775 False positives: 9749 False negatives: 225 True negatives: 1251 ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.20885 Precision: 0.15975 Recall: 0.97250 F1: 0.27443 F2: 0.48203 Total predictions: 13000 True positives: 1945 False positives: 10230 False negatives: 55 True negatives: 770 ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.19858 Precision: 0.17114 Recall: 0.99100 F1: 0.29188 F2: 0.50610 Total predictions: 12000 True positives: 1982 False positives: 9599 False negatives: 18 True negatives: 401 ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.21100 Precision: 0.14018 Recall: 0.88100 F1: 0.24187 F2: 0.42829 Total predictions: 14000 True positives: 1762 False positives: 10808 False negatives: 238 True negatives: 1192 ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.21969 Precision: 0.15982 Recall: 0.95650 F1: 0.27387 F2: 0.47897 Total predictions: 13000 True positives: 1913 False positives: 10057 False negatives: 87 True negatives: 943 ['poi', 'long_term_incentive', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22431 Precision: 0.15065 Recall: 0.87150 F1: 0.25689 F2: 0.44532 Total predictions: 13000 True positives: 1743 False positives: 9827 False negatives: 257 True negatives: 1173 ['poi', 'long_term_incentive', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.22831 Precision: 0.16093 Recall: 0.95300 F1: 0.27535 F2: 0.48025 Total predictions: 13000 True positives: 1906 False positives: 9938 False negatives: 94 True negatives: 1062 ['poi', 'long_term_incentive', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22421 Precision: 0.14308 Recall: 0.88800 F1: 0.24644 F2: 0.43502 Total predictions: 14000 True positives: 1776 False positives: 10637 False negatives: 224 True negatives: 1363 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83423 Precision: 0.44195 Recall: 0.29500 F1: 0.35382 F2: 0.31601 Total predictions: 13000 True positives: 590 False positives: 745 False negatives: 1410 True negatives: 10255 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84300 Precision: 0.42742 Recall: 0.29150 F1: 0.34661 F2: 0.31130 Total predictions: 14000 True positives: 583 False positives: 781 False negatives: 1417 True negatives: 11219 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84264 Precision: 0.42597 Recall: 0.29200 F1: 0.34648 F2: 0.31160 Total predictions: 14000 True positives: 584 False positives: 787 False negatives: 1416 True negatives: 11213 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.83038 Precision: 0.42926 Recall: 0.31100 F1: 0.36068 F2: 0.32914 Total predictions: 13000 True positives: 622 False positives: 827 False negatives: 1378 True negatives: 10173 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84080 Precision: 0.35522 Recall: 0.23800 F1: 0.28503 F2: 0.25482 Total predictions: 15000 True positives: 476 False positives: 864 False negatives: 1524 True negatives: 12136 ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83546 Precision: 0.45249 Recall: 0.33100 F1: 0.38233 F2: 0.34978 Total predictions: 13000 True positives: 662 False positives: 801 False negatives: 1338 True negatives: 10199 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.79827 Precision: 0.39317 Recall: 0.20150 F1: 0.26645 F2: 0.22327 Total predictions: 11000 True positives: 403 False positives: 622 False negatives: 1597 True negatives: 8378 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80775 Precision: 0.36547 Recall: 0.20850 F1: 0.26552 F2: 0.22809 Total predictions: 12000 True positives: 417 False positives: 724 False negatives: 1583 True negatives: 9276 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80373 Precision: 0.41587 Recall: 0.19650 F1: 0.26689 F2: 0.21968 Total predictions: 11000 True positives: 393 False positives: 552 False negatives: 1607 True negatives: 8448 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82592 Precision: 0.32988 Recall: 0.12750 F1: 0.18392 F2: 0.14533 Total predictions: 13000 True positives: 255 False positives: 518 False negatives: 1745 True negatives: 10482 ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84285 Precision: 0.48303 Recall: 0.30600 F1: 0.37466 F2: 0.33020 Total predictions: 13000 True positives: 612 False positives: 655 False negatives: 1388 True negatives: 10345 ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80125 Precision: 0.32735 Recall: 0.18250 F1: 0.23435 F2: 0.20022 Total predictions: 12000 True positives: 365 False positives: 750 False negatives: 1635 True negatives: 9250 ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78564 Precision: 0.33208 Recall: 0.17700 F1: 0.23092 F2: 0.19523 Total predictions: 11000 True positives: 354 False positives: 712 False negatives: 1646 True negatives: 8288 ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82538 Precision: 0.33292 Recall: 0.13450 F1: 0.19160 F2: 0.15270 Total predictions: 13000 True positives: 269 False positives: 539 False negatives: 1731 True negatives: 10461 ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84385 Precision: 0.48744 Recall: 0.29100 F1: 0.36443 F2: 0.31651 Total predictions: 13000 True positives: 582 False positives: 612 False negatives: 1418 True negatives: 10388 ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.80342 Precision: 0.34979 Recall: 0.20900 F1: 0.26166 F2: 0.22730 Total predictions: 12000 True positives: 418 False positives: 777 False negatives: 1582 True negatives: 9223 ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.82107 Precision: 0.26424 Recall: 0.14150 F1: 0.18430 F2: 0.15599 Total predictions: 14000 True positives: 283 False positives: 788 False negatives: 1717 True negatives: 11212 ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84029 Precision: 0.41655 Recall: 0.29450 F1: 0.34505 F2: 0.31283 Total predictions: 14000 True positives: 589 False positives: 825 False negatives: 1411 True negatives: 11175 ['poi', 'long_term_incentive', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82123 Precision: 0.31507 Recall: 0.13800 F1: 0.19193 F2: 0.15548 Total predictions: 13000 True positives: 276 False positives: 600 False negatives: 1724 True negatives: 10400 ['poi', 'long_term_incentive', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.83577 Precision: 0.45223 Recall: 0.31950 F1: 0.37445 F2: 0.33942 Total predictions: 13000 True positives: 639 False positives: 774 False negatives: 1361 True negatives: 10226 ['poi', 'long_term_incentive', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84421 Precision: 0.42054 Recall: 0.23950 F1: 0.30519 F2: 0.26206 Total predictions: 14000 True positives: 479 False positives: 660 False negatives: 1521 True negatives: 11340 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.84479 Precision: 0.42445 Recall: 0.24300 F1: 0.30906 F2: 0.26572 Total predictions: 14000 True positives: 486 False positives: 659 False negatives: 1514 True negatives: 11341 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.85286 Precision: 0.47263 Recall: 0.25900 F1: 0.33463 F2: 0.28474 Total predictions: 14000 True positives: 518 False positives: 578 False negatives: 1482 True negatives: 11422 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83585 Precision: 0.43607 Recall: 0.22850 F1: 0.29987 F2: 0.25254 Total predictions: 13000 True positives: 457 False positives: 591 False negatives: 1543 True negatives: 10409 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83867 Precision: 0.31449 Recall: 0.17800 F1: 0.22733 F2: 0.19492 Total predictions: 15000 True positives: 356 False positives: 776 False negatives: 1644 True negatives: 12224 ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84264 Precision: 0.42465 Recall: 0.28600 F1: 0.34180 F2: 0.30598 Total predictions: 14000 True positives: 572 False positives: 775 False negatives: 1428 True negatives: 11225 ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85193 Precision: 0.46685 Recall: 0.25700 F1: 0.33151 F2: 0.28239 Total predictions: 14000 True positives: 514 False positives: 587 False negatives: 1486 True negatives: 11413 ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.84486 Precision: 0.42349 Recall: 0.23800 F1: 0.30474 F2: 0.26085 Total predictions: 14000 True positives: 476 False positives: 648 False negatives: 1524 True negatives: 11352 ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83867 Precision: 0.31416 Recall: 0.17750 F1: 0.22684 F2: 0.19441 Total predictions: 15000 True positives: 355 False positives: 775 False negatives: 1645 True negatives: 12225 ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83277 Precision: 0.43128 Recall: 0.27300 F1: 0.33435 F2: 0.29463 Total predictions: 13000 True positives: 546 False positives: 720 False negatives: 1454 True negatives: 10280 ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.84993 Precision: 0.45249 Recall: 0.24050 F1: 0.31407 F2: 0.26536 Total predictions: 14000 True positives: 481 False positives: 582 False negatives: 1519 True negatives: 11418 ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.84267 Precision: 0.33364 Recall: 0.18050 F1: 0.23426 F2: 0.19874 Total predictions: 15000 True positives: 361 False positives: 721 False negatives: 1639 True negatives: 12279 ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84069 Precision: 0.47116 Recall: 0.29000 F1: 0.35902 F2: 0.31416 Total predictions: 13000 True positives: 580 False positives: 651 False negatives: 1420 True negatives: 10349 ['poi', 'long_term_incentive', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.83913 Precision: 0.31546 Recall: 0.17650 F1: 0.22635 F2: 0.19355 Total predictions: 15000 True positives: 353 False positives: 766 False negatives: 1647 True negatives: 12234 ['poi', 'long_term_incentive', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.83577 Precision: 0.44517 Recall: 0.27400 F1: 0.33921 F2: 0.29683 Total predictions: 13000 True positives: 548 False positives: 683 False negatives: 1452 True negatives: 10317 ['poi', 'long_term_incentive', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84293 Precision: 0.35714 Recall: 0.22250 F1: 0.27418 F2: 0.24064 Total predictions: 15000 True positives: 445 False positives: 801 False negatives: 1555 True negatives: 12199 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79475 Precision: 0.24076 Recall: 0.10750 F1: 0.14863 F2: 0.12088 Total predictions: 12000 True positives: 215 False positives: 678 False negatives: 1785 True negatives: 9322 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79055 Precision: 0.29625 Recall: 0.11050 F1: 0.16096 F2: 0.12634 Total predictions: 11000 True positives: 221 False positives: 525 False negatives: 1779 True negatives: 8475 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83407 Precision: 0.21314 Recall: 0.06000 F1: 0.09364 F2: 0.07007 Total predictions: 14000 True positives: 120 False positives: 443 False negatives: 1880 True negatives: 11557 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83523 Precision: 0.43238 Recall: 0.22700 F1: 0.29770 F2: 0.25083 Total predictions: 13000 True positives: 454 False positives: 596 False negatives: 1546 True negatives: 10404 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.80450 Precision: 0.29356 Recall: 0.12300 F1: 0.17336 F2: 0.13917 Total predictions: 12000 True positives: 246 False positives: 592 False negatives: 1754 True negatives: 9408 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.81693 Precision: 0.15375 Recall: 0.06250 F1: 0.08887 F2: 0.07092 Total predictions: 14000 True positives: 125 False positives: 688 False negatives: 1875 True negatives: 11312 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84129 Precision: 0.41232 Recall: 0.26100 F1: 0.31966 F2: 0.28167 Total predictions: 14000 True positives: 522 False positives: 744 False negatives: 1478 True negatives: 11256 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82523 Precision: 0.23643 Recall: 0.06100 F1: 0.09698 F2: 0.07163 Total predictions: 13000 True positives: 122 False positives: 394 False negatives: 1878 True negatives: 10606 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.83815 Precision: 0.45203 Recall: 0.24500 F1: 0.31777 F2: 0.26970 Total predictions: 13000 True positives: 490 False positives: 594 False negatives: 1510 True negatives: 10406 ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83929 Precision: 0.37219 Recall: 0.18200 F1: 0.24446 F2: 0.20272 Total predictions: 14000 True positives: 364 False positives: 614 False negatives: 1636 True negatives: 11386 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.80008 Precision: 0.28101 Recall: 0.12800 F1: 0.17588 F2: 0.14364 Total predictions: 12000 True positives: 256 False positives: 655 False negatives: 1744 True negatives: 9345 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81993 Precision: 0.17640 Recall: 0.07100 F1: 0.10125 F2: 0.08064 Total predictions: 14000 True positives: 142 False positives: 663 False negatives: 1858 True negatives: 11337 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84157 Precision: 0.41294 Recall: 0.25850 F1: 0.31796 F2: 0.27940 Total predictions: 14000 True positives: 517 False positives: 735 False negatives: 1483 True negatives: 11265 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.82562 Precision: 0.25771 Recall: 0.07100 F1: 0.11133 F2: 0.08303 Total predictions: 13000 True positives: 142 False positives: 409 False negatives: 1858 True negatives: 10591 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83777 Precision: 0.44986 Recall: 0.24450 F1: 0.31681 F2: 0.26907 Total predictions: 13000 True positives: 489 False positives: 598 False negatives: 1511 True negatives: 10402 ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83950 Precision: 0.37359 Recall: 0.18250 F1: 0.24521 F2: 0.20330 Total predictions: 14000 True positives: 365 False positives: 612 False negatives: 1635 True negatives: 11388 ['poi', 'long_term_incentive', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82250 Precision: 0.20245 Recall: 0.08250 F1: 0.11723 F2: 0.09359 Total predictions: 14000 True positives: 165 False positives: 650 False negatives: 1835 True negatives: 11350 ['poi', 'long_term_incentive', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.84436 Precision: 0.42264 Recall: 0.24450 F1: 0.30979 F2: 0.26701 Total predictions: 14000 True positives: 489 False positives: 668 False negatives: 1511 True negatives: 11332 ['poi', 'long_term_incentive', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84020 Precision: 0.32197 Recall: 0.17950 F1: 0.23050 F2: 0.19693 Total predictions: 15000 True positives: 359 False positives: 756 False negatives: 1641 True negatives: 12244 ['poi', 'long_term_incentive', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'long_term_incentive', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83614 Precision: 0.35241 Recall: 0.17550 F1: 0.23431 F2: 0.19509 Total predictions: 14000 True positives: 351 False positives: 645 False negatives: 1649 True negatives: 11355 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'other'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'other'] Accuracy: 0.30046 Precision: 0.16726 Recall: 0.89150 F1: 0.28167 F2: 0.47776 Total predictions: 13000 True positives: 1783 False positives: 8877 False negatives: 217 True negatives: 2123 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'director_fees'] Accuracy: 0.39155 Precision: 0.12263 Recall: 0.92500 F1: 0.21655 F2: 0.40068 Total predictions: 11000 True positives: 925 False positives: 6618 False negatives: 75 True negatives: 3382 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees'] Accuracy: 0.30520 Precision: 0.11862 Recall: 0.92500 F1: 0.21028 F2: 0.39202 Total predictions: 10000 True positives: 925 False positives: 6873 False negatives: 75 True negatives: 2127 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'bonus'] Accuracy: 0.33283 Precision: 0.19269 Recall: 0.94150 F1: 0.31991 F2: 0.52977 Total predictions: 12000 True positives: 1883 False positives: 7889 False negatives: 117 True negatives: 2111 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value'] Accuracy: 0.28343 Precision: 0.16024 Recall: 0.94700 F1: 0.27410 F2: 0.47780 Total predictions: 14000 True positives: 1894 False positives: 9926 False negatives: 106 True negatives: 2074 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person'] Accuracy: 0.30440 Precision: 0.11673 Recall: 0.90700 F1: 0.20684 F2: 0.38530 Total predictions: 10000 True positives: 907 False positives: 6863 False negatives: 93 True negatives: 2137 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi'] Accuracy: 0.30020 Precision: 0.11333 Recall: 0.87900 F1: 0.20078 F2: 0.37385 Total predictions: 10000 True positives: 879 False positives: 6877 False negatives: 121 True negatives: 2123 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock'] Accuracy: 0.31975 Precision: 0.18833 Recall: 0.93100 F1: 0.31328 F2: 0.52049 Total predictions: 12000 True positives: 1862 False positives: 8025 False negatives: 138 True negatives: 1975 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'salary'] Accuracy: 0.31925 Precision: 0.18796 Recall: 0.92900 F1: 0.31266 F2: 0.51943 Total predictions: 12000 True positives: 1858 False positives: 8027 False negatives: 142 True negatives: 1973 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'total_payments'] Accuracy: 0.26743 Precision: 0.15011 Recall: 0.88550 F1: 0.25670 F2: 0.44727 Total predictions: 14000 True positives: 1771 False positives: 10027 False negatives: 229 True negatives: 1973 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options'] Accuracy: 0.30685 Precision: 0.17302 Recall: 0.92750 F1: 0.29164 F2: 0.49543 Total predictions: 13000 True positives: 1855 False positives: 8866 False negatives: 145 True negatives: 2134 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'director_fees'] Accuracy: 0.34929 Precision: 0.17421 Recall: 0.95050 F1: 0.29445 F2: 0.50259 Total predictions: 14000 True positives: 1901 False positives: 9011 False negatives: 99 True negatives: 2989 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'resto_dirfees'] Accuracy: 0.27715 Precision: 0.16862 Recall: 0.94100 F1: 0.28600 F2: 0.49110 Total predictions: 13000 True positives: 1882 False positives: 9279 False negatives: 118 True negatives: 1721 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'bonus'] Accuracy: 0.27831 Precision: 0.16843 Recall: 0.93750 F1: 0.28556 F2: 0.49002 Total predictions: 13000 True positives: 1875 False positives: 9257 False negatives: 125 True negatives: 1743 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'total_stock_value'] Accuracy: 0.25729 Precision: 0.15542 Recall: 0.94700 F1: 0.26702 F2: 0.46914 Total predictions: 14000 True positives: 1894 False positives: 10292 False negatives: 106 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person'] Accuracy: 0.27823 Precision: 0.16842 Recall: 0.93750 F1: 0.28554 F2: 0.48999 Total predictions: 13000 True positives: 1875 False positives: 9258 False negatives: 125 True negatives: 1742 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi'] Accuracy: 0.27377 Precision: 0.16242 Recall: 0.89500 F1: 0.27494 F2: 0.47053 Total predictions: 13000 True positives: 1790 False positives: 9231 False negatives: 210 True negatives: 1769 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'restricted_stock'] Accuracy: 0.28000 Precision: 0.16912 Recall: 0.94050 F1: 0.28669 F2: 0.49184 Total predictions: 13000 True positives: 1881 False positives: 9241 False negatives: 119 True negatives: 1759 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'salary'] Accuracy: 0.28446 Precision: 0.16917 Recall: 0.93350 F1: 0.28644 F2: 0.49039 Total predictions: 13000 True positives: 1867 False positives: 9169 False negatives: 133 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'total_payments'] Accuracy: 0.25814 Precision: 0.15404 Recall: 0.93350 F1: 0.26445 F2: 0.46397 Total predictions: 14000 True positives: 1867 False positives: 10253 False negatives: 133 True negatives: 1747 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'other', 'exercised_stock_options'] Accuracy: 0.25743 Precision: 0.15556 Recall: 0.94800 F1: 0.26727 F2: 0.46959 Total predictions: 14000 True positives: 1896 False positives: 10292 False negatives: 104 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees'] Accuracy: 0.37109 Precision: 0.12629 Recall: 1.00000 F1: 0.22427 F2: 0.41953 Total predictions: 11000 True positives: 1000 False positives: 6918 False negatives: 0 True negatives: 3082 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'bonus'] Accuracy: 0.37762 Precision: 0.19820 Recall: 1.00000 F1: 0.33082 F2: 0.55276 Total predictions: 13000 True positives: 2000 False positives: 8091 False negatives: 0 True negatives: 2909 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value'] Accuracy: 0.34120 Precision: 0.16832 Recall: 1.00000 F1: 0.28814 F2: 0.50297 Total predictions: 15000 True positives: 2000 False positives: 9882 False negatives: 0 True negatives: 3118 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.37109 Precision: 0.12629 Recall: 1.00000 F1: 0.22427 F2: 0.41953 Total predictions: 11000 True positives: 1000 False positives: 6918 False negatives: 0 True negatives: 3082 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.36455 Precision: 0.11798 Recall: 0.92500 F1: 0.20928 F2: 0.39063 Total predictions: 11000 True positives: 925 False positives: 6915 False negatives: 75 True negatives: 3085 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock'] Accuracy: 0.35921 Precision: 0.18201 Recall: 0.99750 F1: 0.30785 F2: 0.52608 Total predictions: 14000 True positives: 1995 False positives: 8966 False negatives: 5 True negatives: 3034 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'salary'] Accuracy: 0.35914 Precision: 0.18170 Recall: 0.99500 F1: 0.30729 F2: 0.52501 Total predictions: 14000 True positives: 1990 False positives: 8962 False negatives: 10 True negatives: 3038 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'total_payments'] Accuracy: 0.34043 Precision: 0.17136 Recall: 0.94300 F1: 0.29002 F2: 0.49616 Total predictions: 14000 True positives: 1886 False positives: 9120 False negatives: 114 True negatives: 2880 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'director_fees', 'exercised_stock_options'] Accuracy: 0.35736 Precision: 0.18187 Recall: 1.00000 F1: 0.30776 F2: 0.52640 Total predictions: 14000 True positives: 2000 False positives: 8997 False negatives: 0 True negatives: 3003 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.28370 Precision: 0.12250 Recall: 1.00000 F1: 0.21827 F2: 0.41108 Total predictions: 10000 True positives: 1000 False positives: 7163 False negatives: 0 True negatives: 1837 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.27630 Precision: 0.11438 Recall: 0.92500 F1: 0.20359 F2: 0.38264 Total predictions: 10000 True positives: 925 False positives: 7162 False negatives: 75 True negatives: 1838 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30183 Precision: 0.19218 Recall: 0.99550 F1: 0.32217 F2: 0.54221 Total predictions: 12000 True positives: 1991 False positives: 8369 False negatives: 9 True negatives: 1631 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'salary'] Accuracy: 0.30117 Precision: 0.19150 Recall: 0.99100 F1: 0.32097 F2: 0.54005 Total predictions: 12000 True positives: 1982 False positives: 8368 False negatives: 18 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments'] Accuracy: 0.25093 Precision: 0.15385 Recall: 0.94300 F1: 0.26453 F2: 0.46547 Total predictions: 14000 True positives: 1886 False positives: 10373 False negatives: 114 True negatives: 1627 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.28523 Precision: 0.17712 Recall: 1.00000 F1: 0.30093 F2: 0.51835 Total predictions: 13000 True positives: 2000 False positives: 9292 False negatives: 0 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.31242 Precision: 0.19510 Recall: 1.00000 F1: 0.32650 F2: 0.54792 Total predictions: 12000 True positives: 2000 False positives: 8251 False negatives: 0 True negatives: 1749 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30500 Precision: 0.18670 Recall: 0.94450 F1: 0.31177 F2: 0.52130 Total predictions: 12000 True positives: 1889 False positives: 8229 False negatives: 111 True negatives: 1771 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'restricted_stock'] Accuracy: 0.29062 Precision: 0.17765 Recall: 0.99500 F1: 0.30147 F2: 0.51818 Total predictions: 13000 True positives: 1990 False positives: 9212 False negatives: 10 True negatives: 1788 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'salary'] Accuracy: 0.30125 Precision: 0.19158 Recall: 0.99150 F1: 0.32111 F2: 0.54030 Total predictions: 12000 True positives: 1983 False positives: 8368 False negatives: 17 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'total_payments'] Accuracy: 0.25257 Precision: 0.15402 Recall: 0.94200 F1: 0.26476 F2: 0.46560 Total predictions: 14000 True positives: 1884 False positives: 10348 False negatives: 116 True negatives: 1652 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options'] Accuracy: 0.28638 Precision: 0.17735 Recall: 1.00000 F1: 0.30127 F2: 0.51875 Total predictions: 13000 True positives: 2000 False positives: 9277 False negatives: 0 True negatives: 1723 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.26657 Precision: 0.16303 Recall: 1.00000 F1: 0.28035 F2: 0.49339 Total predictions: 14000 True positives: 2000 False positives: 10268 False negatives: 0 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock'] Accuracy: 0.26650 Precision: 0.16296 Recall: 0.99950 F1: 0.28023 F2: 0.49317 Total predictions: 14000 True positives: 1999 False positives: 10268 False negatives: 1 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'salary'] Accuracy: 0.26650 Precision: 0.16285 Recall: 0.99850 F1: 0.28003 F2: 0.49277 Total predictions: 14000 True positives: 1997 False positives: 10266 False negatives: 3 True negatives: 1734 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments'] Accuracy: 0.25987 Precision: 0.14606 Recall: 0.93900 F1: 0.25279 F2: 0.45019 Total predictions: 15000 True positives: 1878 False positives: 10980 False negatives: 122 True negatives: 2020 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.26621 Precision: 0.16268 Recall: 0.99750 F1: 0.27974 F2: 0.49228 Total predictions: 14000 True positives: 1995 False positives: 10268 False negatives: 5 True negatives: 1732 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.27180 Precision: 0.10884 Recall: 0.87400 F1: 0.19358 F2: 0.36326 Total predictions: 10000 True positives: 874 False positives: 7156 False negatives: 126 True negatives: 1844 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30125 Precision: 0.19158 Recall: 0.99150 F1: 0.32111 F2: 0.54030 Total predictions: 12000 True positives: 1983 False positives: 8368 False negatives: 17 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary'] Accuracy: 0.30117 Precision: 0.19150 Recall: 0.99100 F1: 0.32097 F2: 0.54005 Total predictions: 12000 True positives: 1982 False positives: 8368 False negatives: 18 True negatives: 1632 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25093 Precision: 0.15385 Recall: 0.94300 F1: 0.26453 F2: 0.46547 Total predictions: 14000 True positives: 1886 False positives: 10373 False negatives: 114 True negatives: 1627 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.28508 Precision: 0.17697 Recall: 0.99900 F1: 0.30068 F2: 0.51788 Total predictions: 13000 True positives: 1998 False positives: 9292 False negatives: 2 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29158 Precision: 0.18235 Recall: 0.93300 F1: 0.30508 F2: 0.51171 Total predictions: 12000 True positives: 1866 False positives: 8367 False negatives: 134 True negatives: 1633 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29308 Precision: 0.18255 Recall: 0.93200 F1: 0.30530 F2: 0.51178 Total predictions: 12000 True positives: 1864 False positives: 8347 False negatives: 136 True negatives: 1653 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25036 Precision: 0.15324 Recall: 0.93850 F1: 0.26346 F2: 0.46348 Total predictions: 14000 True positives: 1877 False positives: 10372 False negatives: 123 True negatives: 1628 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28492 Precision: 0.17682 Recall: 0.99800 F1: 0.30042 F2: 0.51742 Total predictions: 13000 True positives: 1996 False positives: 9292 False negatives: 4 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'salary'] Accuracy: 0.28723 Precision: 0.17626 Recall: 0.98900 F1: 0.29920 F2: 0.51451 Total predictions: 13000 True positives: 1978 False positives: 9244 False negatives: 22 True negatives: 1756 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.25557 Precision: 0.15427 Recall: 0.93950 F1: 0.26502 F2: 0.46556 Total predictions: 14000 True positives: 1879 False positives: 10301 False negatives: 121 True negatives: 1699 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26657 Precision: 0.16297 Recall: 0.99950 F1: 0.28025 F2: 0.49319 Total predictions: 14000 True positives: 1999 False positives: 10267 False negatives: 1 True negatives: 1733 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary', 'total_payments'] Accuracy: 0.25071 Precision: 0.15324 Recall: 0.93800 F1: 0.26345 F2: 0.46339 Total predictions: 14000 True positives: 1876 False positives: 10366 False negatives: 124 True negatives: 1634 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.26650 Precision: 0.16285 Recall: 0.99850 F1: 0.28003 F2: 0.49277 Total predictions: 14000 True positives: 1997 False positives: 10266 False negatives: 3 True negatives: 1734 ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.26827 Precision: 0.14700 Recall: 0.93450 F1: 0.25404 F2: 0.45114 Total predictions: 15000 True positives: 1869 False positives: 10845 False negatives: 131 True negatives: 2155 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'director_fees'] Accuracy: 0.36236 Precision: 0.17011 Recall: 0.89300 F1: 0.28578 F2: 0.48273 Total predictions: 14000 True positives: 1786 False positives: 8713 False negatives: 214 True negatives: 3287 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.29346 Precision: 0.16628 Recall: 0.89500 F1: 0.28045 F2: 0.47695 Total predictions: 13000 True positives: 1790 False positives: 8975 False negatives: 210 True negatives: 2025 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'bonus'] Accuracy: 0.30046 Precision: 0.16726 Recall: 0.89150 F1: 0.28167 F2: 0.47776 Total predictions: 13000 True positives: 1783 False positives: 8877 False negatives: 217 True negatives: 2123 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.27793 Precision: 0.15236 Recall: 0.88850 F1: 0.26012 F2: 0.45186 Total predictions: 14000 True positives: 1777 False positives: 9886 False negatives: 223 True negatives: 2114 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.30046 Precision: 0.16726 Recall: 0.89150 F1: 0.28167 F2: 0.47776 Total predictions: 13000 True positives: 1783 False positives: 8877 False negatives: 217 True negatives: 2123 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.29423 Precision: 0.16600 Recall: 0.89150 F1: 0.27988 F2: 0.47570 Total predictions: 13000 True positives: 1783 False positives: 8958 False negatives: 217 True negatives: 2042 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.29977 Precision: 0.16498 Recall: 0.87450 F1: 0.27760 F2: 0.47014 Total predictions: 13000 True positives: 1749 False positives: 8852 False negatives: 251 True negatives: 2148 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'salary'] Accuracy: 0.30438 Precision: 0.16618 Recall: 0.87650 F1: 0.27938 F2: 0.47253 Total predictions: 13000 True positives: 1753 False positives: 8796 False negatives: 247 True negatives: 2204 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'total_payments'] Accuracy: 0.27157 Precision: 0.15020 Recall: 0.88000 F1: 0.25660 F2: 0.44629 Total predictions: 14000 True positives: 1760 False positives: 9958 False negatives: 240 True negatives: 2042 ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.27771 Precision: 0.15250 Recall: 0.89000 F1: 0.26039 F2: 0.45242 Total predictions: 14000 True positives: 1780 False positives: 9892 False negatives: 220 True negatives: 2108 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.38145 Precision: 0.12085 Recall: 0.92500 F1: 0.21377 F2: 0.39686 Total predictions: 11000 True positives: 925 False positives: 6729 False negatives: 75 True negatives: 3271 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.38923 Precision: 0.19210 Recall: 0.92650 F1: 0.31822 F2: 0.52505 Total predictions: 13000 True positives: 1853 False positives: 7793 False negatives: 147 True negatives: 3207 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.35153 Precision: 0.16419 Recall: 0.94450 F1: 0.27975 F2: 0.48423 Total predictions: 15000 True positives: 1889 False positives: 9616 False negatives: 111 True negatives: 3384 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.39155 Precision: 0.12263 Recall: 0.92500 F1: 0.21655 F2: 0.40068 Total predictions: 11000 True positives: 925 False positives: 6618 False negatives: 75 True negatives: 3382 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.38900 Precision: 0.12218 Recall: 0.92500 F1: 0.21584 F2: 0.39971 Total predictions: 11000 True positives: 925 False positives: 6646 False negatives: 75 True negatives: 3354 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.37150 Precision: 0.17695 Recall: 0.93100 F1: 0.29737 F2: 0.50262 Total predictions: 14000 True positives: 1862 False positives: 8661 False negatives: 138 True negatives: 3339 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.37193 Precision: 0.17643 Recall: 0.92600 F1: 0.29639 F2: 0.50062 Total predictions: 14000 True positives: 1852 False positives: 8645 False negatives: 148 True negatives: 3355 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.35386 Precision: 0.16726 Recall: 0.88550 F1: 0.28138 F2: 0.47638 Total predictions: 14000 True positives: 1771 False positives: 8817 False negatives: 229 True negatives: 3183 ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.36921 Precision: 0.17769 Recall: 0.94150 F1: 0.29896 F2: 0.50626 Total predictions: 14000 True positives: 1883 False positives: 8714 False negatives: 117 True negatives: 3286 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.32733 Precision: 0.19171 Recall: 0.94400 F1: 0.31870 F2: 0.52891 Total predictions: 12000 True positives: 1888 False positives: 7960 False negatives: 112 True negatives: 2040 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.27557 Precision: 0.15876 Recall: 0.94700 F1: 0.27193 F2: 0.47516 Total predictions: 14000 True positives: 1894 False positives: 10036 False negatives: 106 True negatives: 1964 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.30520 Precision: 0.11862 Recall: 0.92500 F1: 0.21028 F2: 0.39202 Total predictions: 10000 True positives: 925 False positives: 6873 False negatives: 75 True negatives: 2127 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.30280 Precision: 0.11826 Recall: 0.92500 F1: 0.20970 F2: 0.39122 Total predictions: 10000 True positives: 925 False positives: 6897 False negatives: 75 True negatives: 2103 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.31508 Precision: 0.18796 Recall: 0.93650 F1: 0.31308 F2: 0.52129 Total predictions: 12000 True positives: 1873 False positives: 8092 False negatives: 127 True negatives: 1908 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.31383 Precision: 0.18673 Recall: 0.92900 F1: 0.31096 F2: 0.51755 Total predictions: 12000 True positives: 1858 False positives: 8092 False negatives: 142 True negatives: 1908 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.25993 Precision: 0.14879 Recall: 0.88550 F1: 0.25477 F2: 0.44491 Total predictions: 14000 True positives: 1771 False positives: 10132 False negatives: 229 True negatives: 1868 ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.29692 Precision: 0.17109 Recall: 0.92850 F1: 0.28894 F2: 0.49247 Total predictions: 13000 True positives: 1857 False positives: 8997 False negatives: 143 True negatives: 2003 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.28400 Precision: 0.16035 Recall: 0.94700 F1: 0.27425 F2: 0.47799 Total predictions: 14000 True positives: 1894 False positives: 9918 False negatives: 106 True negatives: 2082 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.33292 Precision: 0.19278 Recall: 0.94200 F1: 0.32005 F2: 0.53002 Total predictions: 12000 True positives: 1884 False positives: 7889 False negatives: 116 True negatives: 2111 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.32700 Precision: 0.19139 Recall: 0.94200 F1: 0.31814 F2: 0.52791 Total predictions: 12000 True positives: 1884 False positives: 7960 False negatives: 116 True negatives: 2040 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.31208 Precision: 0.17577 Recall: 0.94100 F1: 0.29621 F2: 0.50302 Total predictions: 13000 True positives: 1882 False positives: 8825 False negatives: 118 True negatives: 2175 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'salary'] Accuracy: 0.31942 Precision: 0.18813 Recall: 0.93000 F1: 0.31295 F2: 0.51993 Total predictions: 12000 True positives: 1860 False positives: 8027 False negatives: 140 True negatives: 1973 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.26836 Precision: 0.15039 Recall: 0.88650 F1: 0.25716 F2: 0.44798 Total predictions: 14000 True positives: 1773 False positives: 10016 False negatives: 227 True negatives: 1984 ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.30662 Precision: 0.17492 Recall: 0.94350 F1: 0.29512 F2: 0.50218 Total predictions: 13000 True positives: 1887 False positives: 8901 False negatives: 113 True negatives: 2099 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.28400 Precision: 0.16035 Recall: 0.94700 F1: 0.27425 F2: 0.47799 Total predictions: 14000 True positives: 1894 False positives: 9918 False negatives: 106 True negatives: 2082 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.28414 Precision: 0.16037 Recall: 0.94700 F1: 0.27429 F2: 0.47804 Total predictions: 14000 True positives: 1894 False positives: 9916 False negatives: 106 True negatives: 2084 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28464 Precision: 0.16047 Recall: 0.94700 F1: 0.27443 F2: 0.47821 Total predictions: 14000 True positives: 1894 False positives: 9909 False negatives: 106 True negatives: 2091 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.28714 Precision: 0.16037 Recall: 0.94200 F1: 0.27408 F2: 0.47701 Total predictions: 14000 True positives: 1884 False positives: 9864 False negatives: 116 True negatives: 2136 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.27107 Precision: 0.14367 Recall: 0.90050 F1: 0.24780 F2: 0.43850 Total predictions: 15000 True positives: 1801 False positives: 10735 False negatives: 199 True negatives: 2265 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.28550 Precision: 0.16063 Recall: 0.94700 F1: 0.27467 F2: 0.47850 Total predictions: 14000 True positives: 1894 False positives: 9897 False negatives: 106 True negatives: 2103 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.30500 Precision: 0.11859 Recall: 0.92500 F1: 0.21023 F2: 0.39195 Total predictions: 10000 True positives: 925 False positives: 6875 False negatives: 75 True negatives: 2125 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.31950 Precision: 0.18808 Recall: 0.92950 F1: 0.31286 F2: 0.51974 Total predictions: 12000 True positives: 1859 False positives: 8025 False negatives: 141 True negatives: 1975 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31925 Precision: 0.18796 Recall: 0.92900 F1: 0.31266 F2: 0.51943 Total predictions: 12000 True positives: 1858 False positives: 8027 False negatives: 142 True negatives: 1973 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26857 Precision: 0.15031 Recall: 0.88550 F1: 0.25700 F2: 0.44763 Total predictions: 14000 True positives: 1771 False positives: 10011 False negatives: 229 True negatives: 1989 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.30700 Precision: 0.17318 Recall: 0.92850 F1: 0.29191 F2: 0.49591 Total predictions: 13000 True positives: 1857 False positives: 8866 False negatives: 143 True negatives: 2134 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.31400 Precision: 0.18683 Recall: 0.92950 F1: 0.31113 F2: 0.51783 Total predictions: 12000 True positives: 1859 False positives: 8091 False negatives: 141 True negatives: 1909 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.31375 Precision: 0.18671 Recall: 0.92900 F1: 0.31094 F2: 0.51752 Total predictions: 12000 True positives: 1858 False positives: 8093 False negatives: 142 True negatives: 1907 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26750 Precision: 0.15012 Recall: 0.88550 F1: 0.25672 F2: 0.44729 Total predictions: 14000 True positives: 1771 False positives: 10026 False negatives: 229 True negatives: 1974 ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.30708 Precision: 0.17320 Recall: 0.92850 F1: 0.29194 F2: 0.49594 Total predictions: 13000 True positives: 1857 False positives: 8865 False negatives: 143 True negatives: 2135 ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.30723 Precision: 0.17292 Recall: 0.92600 F1: 0.29142 F2: 0.49492 Total predictions: 13000 True positives: 1852 False positives: 8858 False negatives: 148 True negatives: 2142 ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.26986 Precision: 0.15043 Recall: 0.88450 F1: 0.25712 F2: 0.44762 Total predictions: 14000 True positives: 1769 False positives: 9991 False negatives: 231 True negatives: 2009 ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28471 Precision: 0.16048 Recall: 0.94700 F1: 0.27445 F2: 0.47823 Total predictions: 14000 True positives: 1894 False positives: 9908 False negatives: 106 True negatives: 2092 ['poi', 'restricted_stock_deferred', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.26807 Precision: 0.14981 Recall: 0.88200 F1: 0.25612 F2: 0.44602 Total predictions: 14000 True positives: 1764 False positives: 10011 False negatives: 236 True negatives: 1989 ['poi', 'restricted_stock_deferred', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.28757 Precision: 0.16045 Recall: 0.94200 F1: 0.27420 F2: 0.47716 Total predictions: 14000 True positives: 1884 False positives: 9858 False negatives: 116 True negatives: 2142 ['poi', 'restricted_stock_deferred', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.27227 Precision: 0.14387 Recall: 0.90050 F1: 0.24811 F2: 0.43888 Total predictions: 15000 True positives: 1801 False positives: 10717 False negatives: 199 True negatives: 2283 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.43918 Precision: 0.23770 Recall: 0.94450 F1: 0.37981 F2: 0.59227 Total predictions: 11000 True positives: 1889 False positives: 6058 False negatives: 111 True negatives: 2942 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'bonus'] Accuracy: 0.41675 Precision: 0.21431 Recall: 0.93750 F1: 0.34887 F2: 0.55973 Total predictions: 12000 True positives: 1875 False positives: 6874 False negatives: 125 True negatives: 3126 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.33213 Precision: 0.15956 Recall: 0.93950 F1: 0.27279 F2: 0.47507 Total predictions: 15000 True positives: 1879 False positives: 9897 False negatives: 121 True negatives: 3103 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.37562 Precision: 0.19072 Recall: 0.94300 F1: 0.31727 F2: 0.52714 Total predictions: 13000 True positives: 1886 False positives: 8003 False negatives: 114 True negatives: 2997 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.37654 Precision: 0.18476 Recall: 0.89450 F1: 0.30626 F2: 0.50585 Total predictions: 13000 True positives: 1789 False positives: 7894 False negatives: 211 True negatives: 3106 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.36785 Precision: 0.18885 Recall: 0.94350 F1: 0.31471 F2: 0.52440 Total predictions: 13000 True positives: 1887 False positives: 8105 False negatives: 113 True negatives: 2895 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'salary'] Accuracy: 0.41067 Precision: 0.21156 Recall: 0.93000 F1: 0.34470 F2: 0.55384 Total predictions: 12000 True positives: 1860 False positives: 6932 False negatives: 140 True negatives: 3068 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'total_payments'] Accuracy: 0.36423 Precision: 0.18809 Recall: 0.94450 F1: 0.31371 F2: 0.52347 Total predictions: 13000 True positives: 1889 False positives: 8154 False negatives: 111 True negatives: 2846 ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.34807 Precision: 0.17328 Recall: 0.94500 F1: 0.29286 F2: 0.49981 Total predictions: 14000 True positives: 1890 False positives: 9017 False negatives: 110 True negatives: 2983 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.33882 Precision: 0.20806 Recall: 0.93950 F1: 0.34068 F2: 0.55164 Total predictions: 11000 True positives: 1879 False positives: 7152 False negatives: 121 True negatives: 1848 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26586 Precision: 0.15754 Recall: 0.95200 F1: 0.27034 F2: 0.47396 Total predictions: 14000 True positives: 1904 False positives: 10182 False negatives: 96 True negatives: 1818 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.30833 Precision: 0.18713 Recall: 0.94200 F1: 0.31223 F2: 0.52136 Total predictions: 12000 True positives: 1884 False positives: 8184 False negatives: 116 True negatives: 1816 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.31355 Precision: 0.19470 Recall: 0.88500 F1: 0.31918 F2: 0.51782 Total predictions: 11000 True positives: 1770 False positives: 7321 False negatives: 230 True negatives: 1679 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.30167 Precision: 0.18553 Recall: 0.94100 F1: 0.30995 F2: 0.51863 Total predictions: 12000 True positives: 1882 False positives: 8262 False negatives: 118 True negatives: 1738 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.33973 Precision: 0.20919 Recall: 0.94650 F1: 0.34266 F2: 0.55516 Total predictions: 11000 True positives: 1893 False positives: 7156 False negatives: 107 True negatives: 1844 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.27731 Precision: 0.16954 Recall: 0.94850 F1: 0.28766 F2: 0.49429 Total predictions: 13000 True positives: 1897 False positives: 9292 False negatives: 103 True negatives: 1708 ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.27685 Precision: 0.16951 Recall: 0.94900 F1: 0.28764 F2: 0.49435 Total predictions: 13000 True positives: 1898 False positives: 9299 False negatives: 102 True negatives: 1701 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.26657 Precision: 0.15784 Recall: 0.95350 F1: 0.27084 F2: 0.47480 Total predictions: 14000 True positives: 1907 False positives: 10175 False negatives: 93 True negatives: 1825 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.31233 Precision: 0.18752 Recall: 0.93800 F1: 0.31256 F2: 0.52100 Total predictions: 12000 True positives: 1876 False positives: 8128 False negatives: 124 True negatives: 1872 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.29900 Precision: 0.17837 Recall: 0.88900 F1: 0.29713 F2: 0.49477 Total predictions: 12000 True positives: 1778 False positives: 8190 False negatives: 222 True negatives: 1810 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.29758 Precision: 0.18495 Recall: 0.94350 F1: 0.30927 F2: 0.51832 Total predictions: 12000 True positives: 1887 False positives: 8316 False negatives: 113 True negatives: 1684 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'salary'] Accuracy: 0.34036 Precision: 0.20871 Recall: 0.94150 F1: 0.34168 F2: 0.55311 Total predictions: 11000 True positives: 1883 False positives: 7139 False negatives: 117 True negatives: 1861 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'total_payments'] Accuracy: 0.28408 Precision: 0.17005 Recall: 0.94150 F1: 0.28807 F2: 0.49363 Total predictions: 13000 True positives: 1883 False positives: 9190 False negatives: 117 True negatives: 1810 ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.27662 Precision: 0.16899 Recall: 0.94500 F1: 0.28671 F2: 0.49260 Total predictions: 13000 True positives: 1890 False positives: 9294 False negatives: 110 True negatives: 1706 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.26157 Precision: 0.15523 Recall: 0.93850 F1: 0.26639 F2: 0.46710 Total predictions: 14000 True positives: 1877 False positives: 10215 False negatives: 123 True negatives: 1785 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.25914 Precision: 0.15621 Recall: 0.95100 F1: 0.26834 F2: 0.47135 Total predictions: 14000 True positives: 1902 False positives: 10274 False negatives: 98 True negatives: 1726 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.26729 Precision: 0.15763 Recall: 0.95050 F1: 0.27041 F2: 0.47383 Total predictions: 14000 True positives: 1901 False positives: 10159 False negatives: 99 True negatives: 1841 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'salary'] Accuracy: 0.26650 Precision: 0.15777 Recall: 0.95300 F1: 0.27072 F2: 0.47458 Total predictions: 14000 True positives: 1906 False positives: 10175 False negatives: 94 True negatives: 1825 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.30693 Precision: 0.14906 Recall: 0.89150 F1: 0.25541 F2: 0.44660 Total predictions: 15000 True positives: 1783 False positives: 10179 False negatives: 217 True negatives: 2821 ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.26986 Precision: 0.15867 Recall: 0.95550 F1: 0.27214 F2: 0.47670 Total predictions: 14000 True positives: 1911 False positives: 10133 False negatives: 89 True negatives: 1867 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.30425 Precision: 0.17886 Recall: 0.88400 F1: 0.29752 F2: 0.49427 Total predictions: 12000 True positives: 1768 False positives: 8117 False negatives: 232 True negatives: 1883 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.28115 Precision: 0.16858 Recall: 0.93400 F1: 0.28561 F2: 0.48949 Total predictions: 13000 True positives: 1868 False positives: 9213 False negatives: 132 True negatives: 1787 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.30867 Precision: 0.18620 Recall: 0.93400 F1: 0.31051 F2: 0.51797 Total predictions: 12000 True positives: 1868 False positives: 8164 False negatives: 132 True negatives: 1836 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26493 Precision: 0.15697 Recall: 0.94850 F1: 0.26936 F2: 0.47224 Total predictions: 14000 True positives: 1897 False positives: 10188 False negatives: 103 True negatives: 1812 ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.25993 Precision: 0.15652 Recall: 0.95250 F1: 0.26886 F2: 0.47221 Total predictions: 14000 True positives: 1905 False positives: 10266 False negatives: 95 True negatives: 1734 ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.28933 Precision: 0.17632 Recall: 0.88900 F1: 0.29427 F2: 0.49159 Total predictions: 12000 True positives: 1778 False positives: 8306 False negatives: 222 True negatives: 1694 ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.29975 Precision: 0.17639 Recall: 0.87250 F1: 0.29345 F2: 0.48762 Total predictions: 12000 True positives: 1745 False positives: 8148 False negatives: 255 True negatives: 1852 ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26207 Precision: 0.15497 Recall: 0.93550 F1: 0.26590 F2: 0.46605 Total predictions: 14000 True positives: 1871 False positives: 10202 False negatives: 129 True negatives: 1798 ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.26900 Precision: 0.15789 Recall: 0.95000 F1: 0.27077 F2: 0.47419 Total predictions: 14000 True positives: 1900 False positives: 10134 False negatives: 100 True negatives: 1866 ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'salary'] Accuracy: 0.29900 Precision: 0.18501 Recall: 0.94150 F1: 0.30925 F2: 0.51793 Total predictions: 12000 True positives: 1883 False positives: 8295 False negatives: 117 True negatives: 1705 ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.26207 Precision: 0.15365 Recall: 0.92400 F1: 0.26349 F2: 0.46138 Total predictions: 14000 True positives: 1848 False positives: 10179 False negatives: 152 True negatives: 1821 ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26750 Precision: 0.15795 Recall: 0.95300 F1: 0.27099 F2: 0.47491 Total predictions: 14000 True positives: 1906 False positives: 10161 False negatives: 94 True negatives: 1839 ['poi', 'restricted_stock_deferred', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'salary', 'total_payments'] Accuracy: 0.28108 Precision: 0.16969 Recall: 0.94350 F1: 0.28765 F2: 0.49346 Total predictions: 13000 True positives: 1887 False positives: 9233 False negatives: 113 True negatives: 1767 ['poi', 'restricted_stock_deferred', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.27654 Precision: 0.16898 Recall: 0.94500 F1: 0.28669 F2: 0.49257 Total predictions: 13000 True positives: 1890 False positives: 9295 False negatives: 110 True negatives: 1705 ['poi', 'restricted_stock_deferred', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.29800 Precision: 0.15679 Recall: 0.89400 F1: 0.26679 F2: 0.46073 Total predictions: 14000 True positives: 1788 False positives: 9616 False negatives: 212 True negatives: 2384 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.45927 Precision: 0.25164 Recall: 1.00000 F1: 0.40209 F2: 0.62704 Total predictions: 11000 True positives: 2000 False positives: 5948 False negatives: 0 True negatives: 3052 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.34543 Precision: 0.17915 Recall: 1.00000 F1: 0.30386 F2: 0.52181 Total predictions: 14000 True positives: 2000 False positives: 9164 False negatives: 0 True negatives: 2836 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.41860 Precision: 0.14676 Recall: 1.00000 F1: 0.25595 F2: 0.46236 Total predictions: 10000 True positives: 1000 False positives: 5814 False negatives: 0 True negatives: 3186 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.45344 Precision: 0.16186 Recall: 0.93800 F1: 0.27609 F2: 0.47882 Total predictions: 9000 True positives: 938 False positives: 4857 False negatives: 62 True negatives: 3143 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.38469 Precision: 0.19936 Recall: 0.99450 F1: 0.33214 F2: 0.55321 Total predictions: 13000 True positives: 1989 False positives: 7988 False negatives: 11 True negatives: 3012 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.41467 Precision: 0.22070 Recall: 0.99250 F1: 0.36111 F2: 0.58403 Total predictions: 12000 True positives: 1985 False positives: 7009 False negatives: 15 True negatives: 2991 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.36331 Precision: 0.18861 Recall: 0.95050 F1: 0.31476 F2: 0.52575 Total predictions: 13000 True positives: 1901 False positives: 8178 False negatives: 99 True negatives: 2822 ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.33967 Precision: 0.11206 Recall: 1.00000 F1: 0.20153 F2: 0.38688 Total predictions: 12000 True positives: 1000 False positives: 7924 False negatives: 0 True negatives: 3076 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.34821 Precision: 0.17978 Recall: 1.00000 F1: 0.30476 F2: 0.52288 Total predictions: 14000 True positives: 2000 False positives: 9125 False negatives: 0 True negatives: 2875 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.40583 Precision: 0.21906 Recall: 1.00000 F1: 0.35939 F2: 0.58377 Total predictions: 12000 True positives: 2000 False positives: 7130 False negatives: 0 True negatives: 2870 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.40583 Precision: 0.21134 Recall: 0.93900 F1: 0.34503 F2: 0.55608 Total predictions: 12000 True positives: 1878 False positives: 7008 False negatives: 122 True negatives: 2992 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.38292 Precision: 0.19890 Recall: 0.99450 F1: 0.33150 F2: 0.55250 Total predictions: 13000 True positives: 1989 False positives: 8011 False negatives: 11 True negatives: 2989 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'salary'] Accuracy: 0.41483 Precision: 0.22081 Recall: 0.99300 F1: 0.36129 F2: 0.58432 Total predictions: 12000 True positives: 1986 False positives: 7008 False negatives: 14 True negatives: 2992 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.36338 Precision: 0.18863 Recall: 0.95050 F1: 0.31479 F2: 0.52578 Total predictions: 13000 True positives: 1901 False positives: 8177 False negatives: 99 True negatives: 2823 ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.35614 Precision: 0.18159 Recall: 1.00000 F1: 0.30736 F2: 0.52593 Total predictions: 14000 True positives: 2000 False positives: 9014 False negatives: 0 True negatives: 2986 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.34120 Precision: 0.16832 Recall: 1.00000 F1: 0.28814 F2: 0.50297 Total predictions: 15000 True positives: 2000 False positives: 9882 False negatives: 0 True negatives: 3118 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.35000 Precision: 0.18018 Recall: 1.00000 F1: 0.30534 F2: 0.52356 Total predictions: 14000 True positives: 2000 False positives: 9100 False negatives: 0 True negatives: 2900 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.34543 Precision: 0.17915 Recall: 1.00000 F1: 0.30386 F2: 0.52181 Total predictions: 14000 True positives: 2000 False positives: 9164 False negatives: 0 True negatives: 2836 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.34127 Precision: 0.16834 Recall: 1.00000 F1: 0.28816 F2: 0.50299 Total predictions: 15000 True positives: 2000 False positives: 9881 False negatives: 0 True negatives: 3119 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.32660 Precision: 0.16022 Recall: 0.95500 F1: 0.27441 F2: 0.47939 Total predictions: 15000 True positives: 1910 False positives: 10011 False negatives: 90 True negatives: 2989 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.34543 Precision: 0.17915 Recall: 1.00000 F1: 0.30386 F2: 0.52181 Total predictions: 14000 True positives: 2000 False positives: 9164 False negatives: 0 True negatives: 2836 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.40630 Precision: 0.13661 Recall: 0.92800 F1: 0.23816 F2: 0.42991 Total predictions: 10000 True positives: 928 False positives: 5865 False negatives: 72 True negatives: 3135 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.37692 Precision: 0.19766 Recall: 0.99700 F1: 0.32991 F2: 0.55119 Total predictions: 13000 True positives: 1994 False positives: 8094 False negatives: 6 True negatives: 2906 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.38600 Precision: 0.19940 Recall: 0.99200 F1: 0.33205 F2: 0.55265 Total predictions: 13000 True positives: 1984 False positives: 7966 False negatives: 16 True negatives: 3034 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.35050 Precision: 0.17466 Recall: 0.95200 F1: 0.29517 F2: 0.50368 Total predictions: 14000 True positives: 1904 False positives: 8997 False negatives: 96 True negatives: 3003 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.35700 Precision: 0.18179 Recall: 1.00000 F1: 0.30764 F2: 0.52626 Total predictions: 14000 True positives: 2000 False positives: 9002 False negatives: 0 True negatives: 2998 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.37523 Precision: 0.19255 Recall: 0.95850 F1: 0.32068 F2: 0.53380 Total predictions: 13000 True positives: 1917 False positives: 8039 False negatives: 83 True negatives: 2961 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.37531 Precision: 0.18875 Recall: 0.92800 F1: 0.31370 F2: 0.52038 Total predictions: 13000 True positives: 1856 False positives: 7977 False negatives: 144 True negatives: 3023 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.35129 Precision: 0.17490 Recall: 0.95250 F1: 0.29553 F2: 0.50418 Total predictions: 14000 True positives: 1905 False positives: 8987 False negatives: 95 True negatives: 3013 ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.36969 Precision: 0.19619 Recall: 1.00000 F1: 0.32803 F2: 0.54963 Total predictions: 13000 True positives: 2000 False positives: 8194 False negatives: 0 True negatives: 2806 ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.37292 Precision: 0.19677 Recall: 0.99800 F1: 0.32872 F2: 0.55004 Total predictions: 13000 True positives: 1996 False positives: 8148 False negatives: 4 True negatives: 2852 ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.33950 Precision: 0.17164 Recall: 0.94700 F1: 0.29060 F2: 0.49750 Total predictions: 14000 True positives: 1894 False positives: 9141 False negatives: 106 True negatives: 2859 ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.34550 Precision: 0.17916 Recall: 1.00000 F1: 0.30388 F2: 0.52184 Total predictions: 14000 True positives: 2000 False positives: 9163 False negatives: 0 True negatives: 2837 ['poi', 'restricted_stock_deferred', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.36315 Precision: 0.18839 Recall: 0.94900 F1: 0.31437 F2: 0.52503 Total predictions: 13000 True positives: 1898 False positives: 8177 False negatives: 102 True negatives: 2823 ['poi', 'restricted_stock_deferred', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.35436 Precision: 0.18118 Recall: 1.00000 F1: 0.30677 F2: 0.52524 Total predictions: 14000 True positives: 2000 False positives: 9039 False negatives: 0 True negatives: 2961 ['poi', 'restricted_stock_deferred', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.33153 Precision: 0.16048 Recall: 0.94850 F1: 0.27451 F2: 0.47853 Total predictions: 15000 True positives: 1897 False positives: 9924 False negatives: 103 True negatives: 3076 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.28662 Precision: 0.17740 Recall: 1.00000 F1: 0.30134 F2: 0.51883 Total predictions: 13000 True positives: 2000 False positives: 9274 False negatives: 0 True negatives: 1726 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.33718 Precision: 0.21526 Recall: 1.00000 F1: 0.35426 F2: 0.57834 Total predictions: 11000 True positives: 2000 False positives: 7291 False negatives: 0 True negatives: 1709 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.33309 Precision: 0.20623 Recall: 0.93650 F1: 0.33803 F2: 0.54824 Total predictions: 11000 True positives: 1873 False positives: 7209 False negatives: 127 True negatives: 1791 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.31667 Precision: 0.19560 Recall: 0.99600 F1: 0.32699 F2: 0.54773 Total predictions: 12000 True positives: 1992 False positives: 8192 False negatives: 8 True negatives: 1808 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.34727 Precision: 0.21750 Recall: 0.99700 F1: 0.35709 F2: 0.58073 Total predictions: 11000 True positives: 1994 False positives: 7174 False negatives: 6 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.27723 Precision: 0.17035 Recall: 0.95550 F1: 0.28915 F2: 0.49719 Total predictions: 13000 True positives: 1911 False positives: 9307 False negatives: 89 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.28800 Precision: 0.17768 Recall: 1.00000 F1: 0.30175 F2: 0.51932 Total predictions: 13000 True positives: 2000 False positives: 9256 False negatives: 0 True negatives: 1744 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.28600 Precision: 0.17727 Recall: 1.00000 F1: 0.30116 F2: 0.51862 Total predictions: 13000 True positives: 2000 False positives: 9282 False negatives: 0 True negatives: 1718 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.24827 Precision: 0.14525 Recall: 0.94950 F1: 0.25196 F2: 0.45056 Total predictions: 15000 True positives: 1899 False positives: 11175 False negatives: 101 True negatives: 1825 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.31167 Precision: 0.13328 Recall: 0.94400 F1: 0.23358 F2: 0.42588 Total predictions: 9000 True positives: 944 False positives: 6139 False negatives: 56 True negatives: 1861 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30225 Precision: 0.19245 Recall: 0.99700 F1: 0.32263 F2: 0.54300 Total predictions: 12000 True positives: 1994 False positives: 8367 False negatives: 6 True negatives: 1633 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31025 Precision: 0.19354 Recall: 0.99100 F1: 0.32383 F2: 0.54328 Total predictions: 12000 True positives: 1982 False positives: 8259 False negatives: 18 True negatives: 1741 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26336 Precision: 0.15708 Recall: 0.95200 F1: 0.26967 F2: 0.47314 Total predictions: 14000 True positives: 1904 False positives: 10217 False negatives: 96 True negatives: 1783 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.29008 Precision: 0.17811 Recall: 1.00000 F1: 0.30237 F2: 0.52005 Total predictions: 13000 True positives: 2000 False positives: 9229 False negatives: 0 True negatives: 1771 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.31500 Precision: 0.19384 Recall: 0.98450 F1: 0.32390 F2: 0.54219 Total predictions: 12000 True positives: 1969 False positives: 8189 False negatives: 31 True negatives: 1811 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30742 Precision: 0.18561 Recall: 0.93150 F1: 0.30955 F2: 0.51644 Total predictions: 12000 True positives: 1863 False positives: 8174 False negatives: 137 True negatives: 1826 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26064 Precision: 0.15580 Recall: 0.94500 F1: 0.26750 F2: 0.46943 Total predictions: 14000 True positives: 1890 False positives: 10241 False negatives: 110 True negatives: 1759 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.30292 Precision: 0.19296 Recall: 1.00000 F1: 0.32349 F2: 0.54451 Total predictions: 12000 True positives: 2000 False positives: 8365 False negatives: 0 True negatives: 1635 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.30758 Precision: 0.19341 Recall: 0.99500 F1: 0.32387 F2: 0.54404 Total predictions: 12000 True positives: 1990 False positives: 8299 False negatives: 10 True negatives: 1701 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.25329 Precision: 0.15426 Recall: 0.94300 F1: 0.26515 F2: 0.46623 Total predictions: 14000 True positives: 1886 False positives: 10340 False negatives: 114 True negatives: 1660 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28562 Precision: 0.17720 Recall: 1.00000 F1: 0.30105 F2: 0.51848 Total predictions: 13000 True positives: 2000 False positives: 9287 False negatives: 0 True negatives: 1713 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.27700 Precision: 0.17013 Recall: 0.95400 F1: 0.28876 F2: 0.49649 Total predictions: 13000 True positives: 1908 False positives: 9307 False negatives: 92 True negatives: 1693 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.25371 Precision: 0.15445 Recall: 0.94400 F1: 0.26547 F2: 0.46677 Total predictions: 14000 True positives: 1888 False positives: 10336 False negatives: 112 True negatives: 1664 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28669 Precision: 0.17742 Recall: 1.00000 F1: 0.30136 F2: 0.51886 Total predictions: 13000 True positives: 2000 False positives: 9273 False negatives: 0 True negatives: 1727 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.29907 Precision: 0.14951 Recall: 0.90800 F1: 0.25675 F2: 0.45071 Total predictions: 15000 True positives: 1816 False positives: 10330 False negatives: 184 True negatives: 2670 ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.28685 Precision: 0.17739 Recall: 0.99950 F1: 0.30130 F2: 0.51871 Total predictions: 13000 True positives: 1999 False positives: 9270 False negatives: 1 True negatives: 1730 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.33173 Precision: 0.20602 Recall: 0.93750 F1: 0.33781 F2: 0.54821 Total predictions: 11000 True positives: 1875 False positives: 7226 False negatives: 125 True negatives: 1774 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.30867 Precision: 0.19395 Recall: 0.99750 F1: 0.32476 F2: 0.54550 Total predictions: 12000 True positives: 1995 False positives: 8291 False negatives: 5 True negatives: 1709 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.31042 Precision: 0.19369 Recall: 0.99200 F1: 0.32410 F2: 0.54377 Total predictions: 12000 True positives: 1984 False positives: 8259 False negatives: 16 True negatives: 1741 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.26336 Precision: 0.15708 Recall: 0.95200 F1: 0.26967 F2: 0.47314 Total predictions: 14000 True positives: 1904 False positives: 10217 False negatives: 96 True negatives: 1783 ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.28031 Precision: 0.17612 Recall: 1.00000 F1: 0.29949 F2: 0.51664 Total predictions: 13000 True positives: 2000 False positives: 9356 False negatives: 0 True negatives: 1644 ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29900 Precision: 0.18550 Recall: 0.94550 F1: 0.31015 F2: 0.51968 Total predictions: 12000 True positives: 1891 False positives: 8303 False negatives: 109 True negatives: 1697 ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30892 Precision: 0.18613 Recall: 0.93300 F1: 0.31035 F2: 0.51761 Total predictions: 12000 True positives: 1866 False positives: 8159 False negatives: 134 True negatives: 1841 ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.26057 Precision: 0.15573 Recall: 0.94450 F1: 0.26737 F2: 0.46920 Total predictions: 14000 True positives: 1889 False positives: 10241 False negatives: 111 True negatives: 1759 ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.30775 Precision: 0.19345 Recall: 0.99500 F1: 0.32392 F2: 0.54410 Total predictions: 12000 True positives: 1990 False positives: 8297 False negatives: 10 True negatives: 1703 ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.25786 Precision: 0.15405 Recall: 0.93400 F1: 0.26448 F2: 0.46408 Total predictions: 14000 True positives: 1868 False positives: 10258 False negatives: 132 True negatives: 1742 ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28669 Precision: 0.17742 Recall: 1.00000 F1: 0.30136 F2: 0.51886 Total predictions: 13000 True positives: 2000 False positives: 9273 False negatives: 0 True negatives: 1727 ['poi', 'restricted_stock_deferred', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'salary', 'total_payments'] Accuracy: 0.27738 Precision: 0.17021 Recall: 0.95400 F1: 0.28887 F2: 0.49662 Total predictions: 13000 True positives: 1908 False positives: 9302 False negatives: 92 True negatives: 1698 ['poi', 'restricted_stock_deferred', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.28354 Precision: 0.17677 Recall: 1.00000 F1: 0.30044 F2: 0.51776 Total predictions: 13000 True positives: 2000 False positives: 9314 False negatives: 0 True negatives: 1686 ['poi', 'restricted_stock_deferred', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.29443 Precision: 0.15742 Recall: 0.90500 F1: 0.26819 F2: 0.46415 Total predictions: 14000 True positives: 1810 False positives: 9688 False negatives: 190 True negatives: 2312 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.26393 Precision: 0.16254 Recall: 1.00000 F1: 0.27962 F2: 0.49249 Total predictions: 14000 True positives: 2000 False positives: 10305 False negatives: 0 True negatives: 1695 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25093 Precision: 0.14521 Recall: 0.94500 F1: 0.25173 F2: 0.44966 Total predictions: 15000 True positives: 1890 False positives: 11126 False negatives: 110 True negatives: 1874 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.28600 Precision: 0.17727 Recall: 1.00000 F1: 0.30116 F2: 0.51862 Total predictions: 13000 True positives: 2000 False positives: 9282 False negatives: 0 True negatives: 1718 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.26393 Precision: 0.16254 Recall: 1.00000 F1: 0.27962 F2: 0.49249 Total predictions: 14000 True positives: 2000 False positives: 10305 False negatives: 0 True negatives: 1695 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25147 Precision: 0.14519 Recall: 0.94400 F1: 0.25167 F2: 0.44944 Total predictions: 15000 True positives: 1888 False positives: 11116 False negatives: 112 True negatives: 1884 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28600 Precision: 0.17727 Recall: 1.00000 F1: 0.30116 F2: 0.51862 Total predictions: 13000 True positives: 2000 False positives: 9282 False negatives: 0 True negatives: 1718 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.29787 Precision: 0.14860 Recall: 0.90200 F1: 0.25516 F2: 0.44786 Total predictions: 15000 True positives: 1804 False positives: 10336 False negatives: 196 True negatives: 2664 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28608 Precision: 0.17717 Recall: 0.99900 F1: 0.30097 F2: 0.51823 Total predictions: 13000 True positives: 1998 False positives: 9279 False negatives: 2 True negatives: 1721 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.28153 Precision: 0.14945 Recall: 0.93550 F1: 0.25773 F2: 0.45592 Total predictions: 15000 True positives: 1871 False positives: 10648 False negatives: 129 True negatives: 2352 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.30720 Precision: 0.14893 Recall: 0.89000 F1: 0.25516 F2: 0.44607 Total predictions: 15000 True positives: 1780 False positives: 10172 False negatives: 220 True negatives: 2828 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.29050 Precision: 0.18112 Recall: 0.92500 F1: 0.30293 F2: 0.50785 Total predictions: 12000 True positives: 1850 False positives: 8364 False negatives: 150 True negatives: 1636 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.30792 Precision: 0.18591 Recall: 0.93300 F1: 0.31004 F2: 0.51727 Total predictions: 12000 True positives: 1866 False positives: 8171 False negatives: 134 True negatives: 1829 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25936 Precision: 0.15602 Recall: 0.94900 F1: 0.26798 F2: 0.47062 Total predictions: 14000 True positives: 1898 False positives: 10267 False negatives: 102 True negatives: 1733 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.28931 Precision: 0.17795 Recall: 1.00000 F1: 0.30214 F2: 0.51978 Total predictions: 13000 True positives: 2000 False positives: 9239 False negatives: 0 True negatives: 1761 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.30250 Precision: 0.19179 Recall: 0.99100 F1: 0.32139 F2: 0.54053 Total predictions: 12000 True positives: 1982 False positives: 8352 False negatives: 18 True negatives: 1648 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.25571 Precision: 0.15509 Recall: 0.94650 F1: 0.26651 F2: 0.46843 Total predictions: 14000 True positives: 1893 False positives: 10313 False negatives: 107 True negatives: 1687 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.27364 Precision: 0.16435 Recall: 1.00000 F1: 0.28231 F2: 0.49581 Total predictions: 14000 True positives: 2000 False positives: 10169 False negatives: 0 True negatives: 1831 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.26286 Precision: 0.15660 Recall: 0.94850 F1: 0.26881 F2: 0.47156 Total predictions: 14000 True positives: 1897 False positives: 10217 False negatives: 103 True negatives: 1783 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.27143 Precision: 0.16393 Recall: 1.00000 F1: 0.28169 F2: 0.49505 Total predictions: 14000 True positives: 2000 False positives: 10200 False negatives: 0 True negatives: 1800 ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.25073 Precision: 0.14512 Recall: 0.94450 F1: 0.25158 F2: 0.44940 Total predictions: 15000 True positives: 1889 False positives: 11128 False negatives: 111 True negatives: 1872 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.29767 Precision: 0.18397 Recall: 0.93550 F1: 0.30748 F2: 0.51486 Total predictions: 12000 True positives: 1871 False positives: 8299 False negatives: 129 True negatives: 1701 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.25221 Precision: 0.15311 Recall: 0.93450 F1: 0.26311 F2: 0.46246 Total predictions: 14000 True positives: 1869 False positives: 10338 False negatives: 131 True negatives: 1662 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.28600 Precision: 0.17727 Recall: 1.00000 F1: 0.30116 F2: 0.51862 Total predictions: 13000 True positives: 2000 False positives: 9282 False negatives: 0 True negatives: 1718 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.25964 Precision: 0.15482 Recall: 0.93800 F1: 0.26578 F2: 0.46627 Total predictions: 14000 True positives: 1876 False positives: 10241 False negatives: 124 True negatives: 1759 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.27371 Precision: 0.16437 Recall: 1.00000 F1: 0.28233 F2: 0.49583 Total predictions: 14000 True positives: 2000 False positives: 10168 False negatives: 0 True negatives: 1832 ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.25227 Precision: 0.14521 Recall: 0.94300 F1: 0.25167 F2: 0.44930 Total predictions: 15000 True positives: 1886 False positives: 11102 False negatives: 114 True negatives: 1898 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.25500 Precision: 0.15383 Recall: 0.93650 F1: 0.26425 F2: 0.46417 Total predictions: 14000 True positives: 1873 False positives: 10303 False negatives: 127 True negatives: 1697 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.27157 Precision: 0.16396 Recall: 1.00000 F1: 0.28173 F2: 0.49510 Total predictions: 14000 True positives: 2000 False positives: 10198 False negatives: 0 True negatives: 1802 ['poi', 'restricted_stock_deferred', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.30200 Precision: 0.14919 Recall: 0.90050 F1: 0.25597 F2: 0.44863 Total predictions: 15000 True positives: 1801 False positives: 10271 False negatives: 199 True negatives: 2729 ['poi', 'restricted_stock_deferred', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock_deferred', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.28436 Precision: 0.15775 Recall: 0.92400 F1: 0.26949 F2: 0.46868 Total predictions: 14000 True positives: 1848 False positives: 9867 False negatives: 152 True negatives: 2133 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'director_fees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'director_fees'] Accuracy: 0.29715 Precision: 0.16534 Recall: 0.88150 F1: 0.27845 F2: 0.47232 Total predictions: 13000 True positives: 1763 False positives: 8900 False negatives: 237 True negatives: 2100 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'resto_dirfees'] Accuracy: 0.21542 Precision: 0.16132 Recall: 0.88300 F1: 0.27280 F2: 0.46604 Total predictions: 12000 True positives: 1766 False positives: 9181 False negatives: 234 True negatives: 819 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'bonus'] Accuracy: 0.78067 Precision: 0.20956 Recall: 0.11400 F1: 0.14767 F2: 0.12544 Total predictions: 12000 True positives: 228 False positives: 860 False negatives: 1772 True negatives: 9140 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'total_stock_value'] Accuracy: 0.83607 Precision: 0.35582 Recall: 0.18200 F1: 0.24082 F2: 0.20171 Total predictions: 14000 True positives: 364 False positives: 659 False negatives: 1636 True negatives: 11341 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'from_poi_to_this_person'] Accuracy: 0.75733 Precision: 0.06069 Recall: 0.03150 F1: 0.04147 F2: 0.03485 Total predictions: 12000 True positives: 63 False positives: 975 False negatives: 1937 True negatives: 9025 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'from_this_person_to_poi'] Accuracy: 0.73783 Precision: 0.05443 Recall: 0.03500 F1: 0.04260 F2: 0.03769 Total predictions: 12000 True positives: 70 False positives: 1216 False negatives: 1930 True negatives: 8784 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'restricted_stock'] Accuracy: 0.79038 Precision: 0.12972 Recall: 0.06350 F1: 0.08526 F2: 0.07072 Total predictions: 13000 True positives: 127 False positives: 852 False negatives: 1873 True negatives: 10148 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'salary'] Accuracy: 0.77992 Precision: 0.13119 Recall: 0.05700 F1: 0.07947 F2: 0.06427 Total predictions: 12000 True positives: 114 False positives: 755 False negatives: 1886 True negatives: 9245 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'total_payments'] Accuracy: 0.80957 Precision: 0.05952 Recall: 0.02250 F1: 0.03266 F2: 0.02570 Total predictions: 14000 True positives: 45 False positives: 711 False negatives: 1955 True negatives: 11289 ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'other', 'exercised_stock_options'] Accuracy: 0.83357 Precision: 0.34492 Recall: 0.18350 F1: 0.23956 F2: 0.20245 Total predictions: 14000 True positives: 367 False positives: 697 False negatives: 1633 True negatives: 11303 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'resto_dirfees'] Accuracy: 0.29040 Precision: 0.11805 Recall: 0.94200 F1: 0.20980 F2: 0.39316 Total predictions: 10000 True positives: 942 False positives: 7038 False negatives: 58 True negatives: 1962 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'bonus'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'total_stock_value'] Accuracy: 0.28460 Precision: 0.15062 Recall: 0.94100 F1: 0.25968 F2: 0.45914 Total predictions: 15000 True positives: 1882 False positives: 10613 False negatives: 118 True negatives: 2387 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29000 Precision: 0.11741 Recall: 0.93600 F1: 0.20865 F2: 0.39091 Total predictions: 10000 True positives: 936 False positives: 7036 False negatives: 64 True negatives: 1964 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.28610 Precision: 0.11501 Recall: 0.91700 F1: 0.20439 F2: 0.38294 Total predictions: 10000 True positives: 917 False positives: 7056 False negatives: 83 True negatives: 1944 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'restricted_stock'] Accuracy: 0.28157 Precision: 0.15746 Recall: 0.92600 F1: 0.26915 F2: 0.46858 Total predictions: 14000 True positives: 1852 False positives: 9910 False negatives: 148 True negatives: 2090 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'salary'] Accuracy: 0.29677 Precision: 0.17136 Recall: 0.93100 F1: 0.28945 F2: 0.49348 Total predictions: 13000 True positives: 1862 False positives: 9004 False negatives: 138 True negatives: 1996 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'total_payments'] Accuracy: 0.29450 Precision: 0.15624 Recall: 0.89500 F1: 0.26603 F2: 0.45999 Total predictions: 14000 True positives: 1790 False positives: 9667 False negatives: 210 True negatives: 2333 ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'director_fees', 'exercised_stock_options'] Accuracy: 0.30492 Precision: 0.17011 Recall: 0.90700 F1: 0.28648 F2: 0.48596 Total predictions: 13000 True positives: 1814 False positives: 8850 False negatives: 186 True negatives: 2150 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'bonus'] Accuracy: 0.24482 Precision: 0.18600 Recall: 0.93400 F1: 0.31022 F2: 0.51765 Total predictions: 11000 True positives: 1868 False positives: 8175 False negatives: 132 True negatives: 825 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.19179 Precision: 0.14406 Recall: 0.94250 F1: 0.24992 F2: 0.44700 Total predictions: 14000 True positives: 1885 False positives: 11200 False negatives: 115 True negatives: 800 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.18178 Precision: 0.10928 Recall: 0.89000 F1: 0.19466 F2: 0.36644 Total predictions: 9000 True positives: 890 False positives: 7254 False negatives: 110 True negatives: 746 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.17633 Precision: 0.10700 Recall: 0.87300 F1: 0.19063 F2: 0.35899 Total predictions: 9000 True positives: 873 False positives: 7286 False negatives: 127 True negatives: 714 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.21975 Precision: 0.16770 Recall: 0.92900 F1: 0.28412 F2: 0.48692 Total predictions: 12000 True positives: 1858 False positives: 9221 False negatives: 142 True negatives: 779 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'salary'] Accuracy: 0.22308 Precision: 0.16933 Recall: 0.93750 F1: 0.28685 F2: 0.49153 Total predictions: 12000 True positives: 1875 False positives: 9198 False negatives: 125 True negatives: 802 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'total_payments'] Accuracy: 0.23557 Precision: 0.13856 Recall: 0.83400 F1: 0.23764 F2: 0.41621 Total predictions: 14000 True positives: 1668 False positives: 10370 False negatives: 332 True negatives: 1630 ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20992 Precision: 0.15523 Recall: 0.93100 F1: 0.26610 F2: 0.46562 Total predictions: 13000 True positives: 1862 False positives: 10133 False negatives: 138 True negatives: 867 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'total_stock_value'] Accuracy: 0.83857 Precision: 0.40728 Recall: 0.28550 F1: 0.33568 F2: 0.30366 Total predictions: 14000 True positives: 571 False positives: 831 False negatives: 1429 True negatives: 11169 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.77900 Precision: 0.31936 Recall: 0.19050 F1: 0.23865 F2: 0.20722 Total predictions: 11000 True positives: 381 False positives: 812 False negatives: 1619 True negatives: 8188 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.76273 Precision: 0.28152 Recall: 0.19650 F1: 0.23145 F2: 0.20913 Total predictions: 11000 True positives: 393 False positives: 1003 False negatives: 1607 True negatives: 7997 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'restricted_stock'] Accuracy: 0.79375 Precision: 0.29543 Recall: 0.17150 F1: 0.21702 F2: 0.18721 Total predictions: 12000 True positives: 343 False positives: 818 False negatives: 1657 True negatives: 9182 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'salary'] Accuracy: 0.79325 Precision: 0.29249 Recall: 0.16950 F1: 0.21462 F2: 0.18506 Total predictions: 12000 True positives: 339 False positives: 820 False negatives: 1661 True negatives: 9180 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'total_payments'] Accuracy: 0.82171 Precision: 0.23617 Recall: 0.11100 F1: 0.15102 F2: 0.12416 Total predictions: 14000 True positives: 222 False positives: 718 False negatives: 1778 True negatives: 11282 ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'bonus', 'exercised_stock_options'] Accuracy: 0.82446 Precision: 0.40056 Recall: 0.28400 F1: 0.33236 F2: 0.30155 Total predictions: 13000 True positives: 568 False positives: 850 False negatives: 1432 True negatives: 10150 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85450 Precision: 0.48364 Recall: 0.27350 F1: 0.34941 F2: 0.29953 Total predictions: 14000 True positives: 547 False positives: 584 False negatives: 1453 True negatives: 11416 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85586 Precision: 0.49191 Recall: 0.27350 F1: 0.35154 F2: 0.30015 Total predictions: 14000 True positives: 547 False positives: 565 False negatives: 1453 True negatives: 11435 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84864 Precision: 0.44928 Recall: 0.26350 F1: 0.33218 F2: 0.28726 Total predictions: 14000 True positives: 527 False positives: 646 False negatives: 1473 True negatives: 11354 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'salary'] Accuracy: 0.83764 Precision: 0.38616 Recall: 0.23150 F1: 0.28947 F2: 0.25166 Total predictions: 14000 True positives: 463 False positives: 736 False negatives: 1537 True negatives: 11264 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'total_payments'] Accuracy: 0.84527 Precision: 0.34552 Recall: 0.17950 F1: 0.23626 F2: 0.19858 Total predictions: 15000 True positives: 359 False positives: 680 False negatives: 1641 True negatives: 12320 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.83707 Precision: 0.39899 Recall: 0.27750 F1: 0.32734 F2: 0.29550 Total predictions: 14000 True positives: 555 False positives: 836 False negatives: 1445 True negatives: 11164 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78600 Precision: 0.00215 Recall: 0.00200 F1: 0.00207 F2: 0.00203 Total predictions: 9000 True positives: 2 False positives: 928 False negatives: 998 True negatives: 7072 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78750 Precision: 0.21354 Recall: 0.10250 F1: 0.13851 F2: 0.11440 Total predictions: 12000 True positives: 205 False positives: 755 False negatives: 1795 True negatives: 9245 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78550 Precision: 0.25428 Recall: 0.14850 F1: 0.18750 F2: 0.16198 Total predictions: 12000 True positives: 297 False positives: 871 False negatives: 1703 True negatives: 9129 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82279 Precision: 0.16079 Recall: 0.05700 F1: 0.08416 F2: 0.06545 Total predictions: 14000 True positives: 114 False positives: 595 False negatives: 1886 True negatives: 11405 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82633 Precision: 0.46416 Recall: 0.27200 F1: 0.34300 F2: 0.29655 Total predictions: 12000 True positives: 544 False positives: 628 False negatives: 1456 True negatives: 9372 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77925 Precision: 0.18587 Recall: 0.09600 F1: 0.12661 F2: 0.10628 Total predictions: 12000 True positives: 192 False positives: 841 False negatives: 1808 True negatives: 9159 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'salary'] Accuracy: 0.73708 Precision: 0.17391 Recall: 0.15400 F1: 0.16335 F2: 0.15761 Total predictions: 12000 True positives: 308 False positives: 1463 False negatives: 1692 True negatives: 8537 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82250 Precision: 0.15407 Recall: 0.05400 F1: 0.07997 F2: 0.06206 Total predictions: 14000 True positives: 108 False positives: 593 False negatives: 1892 True negatives: 11407 ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82917 Precision: 0.47711 Recall: 0.26050 F1: 0.33700 F2: 0.28652 Total predictions: 12000 True positives: 521 False positives: 571 False negatives: 1479 True negatives: 9429 ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'salary'] Accuracy: 0.80931 Precision: 0.25586 Recall: 0.12550 F1: 0.16840 F2: 0.13974 Total predictions: 13000 True positives: 251 False positives: 730 False negatives: 1749 True negatives: 10270 ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'total_payments'] Accuracy: 0.82129 Precision: 0.17821 Recall: 0.06950 F1: 0.10000 F2: 0.07916 Total predictions: 14000 True positives: 139 False positives: 641 False negatives: 1861 True negatives: 11359 ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84000 Precision: 0.40726 Recall: 0.26350 F1: 0.31998 F2: 0.28352 Total predictions: 14000 True positives: 527 False positives: 767 False negatives: 1473 True negatives: 11233 ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary', 'total_payments'] Accuracy: 0.82271 Precision: 0.15767 Recall: 0.05550 F1: 0.08210 F2: 0.06376 Total predictions: 14000 True positives: 111 False positives: 593 False negatives: 1889 True negatives: 11407 ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'salary', 'exercised_stock_options'] Accuracy: 0.82992 Precision: 0.40672 Recall: 0.23000 F1: 0.29384 F2: 0.25189 Total predictions: 13000 True positives: 460 False positives: 671 False negatives: 1540 True negatives: 10329 ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_messages', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85353 Precision: 0.39211 Recall: 0.17900 F1: 0.24579 F2: 0.20083 Total predictions: 15000 True positives: 358 False positives: 555 False negatives: 1642 True negatives: 12445 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.27346 Precision: 0.16796 Recall: 0.94150 F1: 0.28507 F2: 0.49008 Total predictions: 13000 True positives: 1883 False positives: 9328 False negatives: 117 True negatives: 1672 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'bonus'] Accuracy: 0.27485 Precision: 0.16823 Recall: 0.94150 F1: 0.28545 F2: 0.49054 Total predictions: 13000 True positives: 1883 False positives: 9310 False negatives: 117 True negatives: 1690 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.45900 Precision: 0.17683 Recall: 0.83650 F1: 0.29195 F2: 0.47907 Total predictions: 15000 True positives: 1673 False positives: 7788 False negatives: 327 True negatives: 5212 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.27469 Precision: 0.16808 Recall: 0.94050 F1: 0.28519 F2: 0.49007 Total predictions: 13000 True positives: 1881 False positives: 9310 False negatives: 119 True negatives: 1690 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.26923 Precision: 0.15989 Recall: 0.88150 F1: 0.27069 F2: 0.46331 Total predictions: 13000 True positives: 1763 False positives: 9263 False negatives: 237 True negatives: 1737 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.25186 Precision: 0.15270 Recall: 0.93150 F1: 0.26239 F2: 0.46114 Total predictions: 14000 True positives: 1863 False positives: 10337 False negatives: 137 True negatives: 1663 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'salary'] Accuracy: 0.27100 Precision: 0.16665 Recall: 0.93450 F1: 0.28286 F2: 0.48634 Total predictions: 13000 True positives: 1869 False positives: 9346 False negatives: 131 True negatives: 1654 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'total_payments'] Accuracy: 0.68271 Precision: 0.16308 Recall: 0.29550 F1: 0.21017 F2: 0.25422 Total predictions: 14000 True positives: 591 False positives: 3033 False negatives: 1409 True negatives: 8967 ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.31247 Precision: 0.14856 Recall: 0.87850 F1: 0.25414 F2: 0.44308 Total predictions: 15000 True positives: 1757 False positives: 10070 False negatives: 243 True negatives: 2930 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.19133 Precision: 0.16370 Recall: 0.93750 F1: 0.27873 F2: 0.48191 Total predictions: 12000 True positives: 1875 False positives: 9579 False negatives: 125 True negatives: 421 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.22029 Precision: 0.14216 Recall: 0.88550 F1: 0.24499 F2: 0.43284 Total predictions: 14000 True positives: 1771 False positives: 10687 False negatives: 229 True negatives: 1313 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.19050 Precision: 0.16297 Recall: 0.93250 F1: 0.27745 F2: 0.47958 Total predictions: 12000 True positives: 1865 False positives: 9579 False negatives: 135 True negatives: 421 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.18458 Precision: 0.15593 Recall: 0.88200 F1: 0.26500 F2: 0.45669 Total predictions: 12000 True positives: 1764 False positives: 9549 False negatives: 236 True negatives: 451 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.17838 Precision: 0.15055 Recall: 0.93500 F1: 0.25934 F2: 0.45786 Total predictions: 13000 True positives: 1870 False positives: 10551 False negatives: 130 True negatives: 449 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.19433 Precision: 0.16321 Recall: 0.92900 F1: 0.27764 F2: 0.47926 Total predictions: 12000 True positives: 1858 False positives: 9526 False negatives: 142 True negatives: 474 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.22686 Precision: 0.13878 Recall: 0.84750 F1: 0.23850 F2: 0.41926 Total predictions: 14000 True positives: 1695 False positives: 10519 False negatives: 305 True negatives: 1481 ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.20693 Precision: 0.14249 Recall: 0.90700 F1: 0.24628 F2: 0.43751 Total predictions: 14000 True positives: 1814 False positives: 10917 False negatives: 186 True negatives: 1083 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.82914 Precision: 0.35438 Recall: 0.23850 F1: 0.28512 F2: 0.25519 Total predictions: 14000 True positives: 477 False positives: 869 False negatives: 1523 True negatives: 11131 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79317 Precision: 0.23804 Recall: 0.10950 F1: 0.15000 F2: 0.12276 Total predictions: 12000 True positives: 219 False positives: 701 False negatives: 1781 True negatives: 9299 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.78042 Precision: 0.18781 Recall: 0.09550 F1: 0.12662 F2: 0.10591 Total predictions: 12000 True positives: 191 False positives: 826 False negatives: 1809 True negatives: 9174 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.79277 Precision: 0.19561 Recall: 0.11150 F1: 0.14204 F2: 0.12199 Total predictions: 13000 True positives: 223 False positives: 917 False negatives: 1777 True negatives: 10083 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'salary'] Accuracy: 0.79458 Precision: 0.20307 Recall: 0.07950 F1: 0.11427 F2: 0.09052 Total predictions: 12000 True positives: 159 False positives: 624 False negatives: 1841 True negatives: 9376 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'total_payments'] Accuracy: 0.82250 Precision: 0.24660 Recall: 0.11800 F1: 0.15962 F2: 0.13174 Total predictions: 14000 True positives: 236 False positives: 721 False negatives: 1764 True negatives: 11279 ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.83436 Precision: 0.36785 Recall: 0.22200 F1: 0.27689 F2: 0.24112 Total predictions: 14000 True positives: 444 False positives: 763 False negatives: 1556 True negatives: 11237 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83964 Precision: 0.37173 Recall: 0.17750 F1: 0.24027 F2: 0.19821 Total predictions: 14000 True positives: 355 False positives: 600 False negatives: 1645 True negatives: 11400 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84093 Precision: 0.37887 Recall: 0.17750 F1: 0.24174 F2: 0.19861 Total predictions: 14000 True positives: 355 False positives: 582 False negatives: 1645 True negatives: 11418 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84000 Precision: 0.37448 Recall: 0.17900 F1: 0.24222 F2: 0.19987 Total predictions: 14000 True positives: 358 False positives: 598 False negatives: 1642 True negatives: 11402 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'salary'] Accuracy: 0.83679 Precision: 0.35707 Recall: 0.17800 F1: 0.23757 F2: 0.19784 Total predictions: 14000 True positives: 356 False positives: 641 False negatives: 1644 True negatives: 11359 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.83747 Precision: 0.30551 Recall: 0.17200 F1: 0.22009 F2: 0.18847 Total predictions: 15000 True positives: 344 False positives: 782 False negatives: 1656 True negatives: 12218 ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84836 Precision: 0.44092 Recall: 0.22950 F1: 0.30187 F2: 0.25384 Total predictions: 14000 True positives: 459 False positives: 582 False negatives: 1541 True negatives: 11418 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77083 Precision: 0.00265 Recall: 0.00100 F1: 0.00145 F2: 0.00114 Total predictions: 12000 True positives: 2 False positives: 752 False negatives: 1998 True negatives: 9248 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.78700 Precision: 0.10964 Recall: 0.05400 F1: 0.07236 F2: 0.06010 Total predictions: 13000 True positives: 108 False positives: 877 False negatives: 1892 True negatives: 10123 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.78642 Precision: 0.11908 Recall: 0.04400 F1: 0.06426 F2: 0.05035 Total predictions: 12000 True positives: 88 False positives: 651 False negatives: 1912 True negatives: 9349 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82143 Precision: 0.04710 Recall: 0.01300 F1: 0.02038 F2: 0.01520 Total predictions: 14000 True positives: 26 False positives: 526 False negatives: 1974 True negatives: 11474 ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83707 Precision: 0.35879 Recall: 0.17850 F1: 0.23840 F2: 0.19844 Total predictions: 14000 True positives: 357 False positives: 638 False negatives: 1643 True negatives: 11362 ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78823 Precision: 0.11226 Recall: 0.05450 F1: 0.07338 F2: 0.06075 Total predictions: 13000 True positives: 109 False positives: 862 False negatives: 1891 True negatives: 10138 ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78475 Precision: 0.11594 Recall: 0.04400 F1: 0.06379 F2: 0.05023 Total predictions: 12000 True positives: 88 False positives: 671 False negatives: 1912 True negatives: 9329 ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82321 Precision: 0.04239 Recall: 0.01100 F1: 0.01747 F2: 0.01291 Total predictions: 14000 True positives: 22 False positives: 497 False negatives: 1978 True negatives: 11503 ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83929 Precision: 0.37006 Recall: 0.17800 F1: 0.24038 F2: 0.19862 Total predictions: 14000 True positives: 356 False positives: 606 False negatives: 1644 True negatives: 11394 ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'salary'] Accuracy: 0.79538 Precision: 0.12329 Recall: 0.05400 F1: 0.07510 F2: 0.06084 Total predictions: 13000 True positives: 108 False positives: 768 False negatives: 1892 True negatives: 10232 ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.81764 Precision: 0.16322 Recall: 0.06700 F1: 0.09500 F2: 0.07596 Total predictions: 14000 True positives: 134 False positives: 687 False negatives: 1866 True negatives: 11313 ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83836 Precision: 0.36677 Recall: 0.18100 F1: 0.24238 F2: 0.20140 Total predictions: 14000 True positives: 362 False positives: 625 False negatives: 1638 True negatives: 11375 ['poi', 'shared_receipt_with_poi', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'salary', 'total_payments'] Accuracy: 0.82486 Precision: 0.15758 Recall: 0.05200 F1: 0.07820 F2: 0.06005 Total predictions: 14000 True positives: 104 False positives: 556 False negatives: 1896 True negatives: 11444 ['poi', 'shared_receipt_with_poi', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83850 Precision: 0.36533 Recall: 0.17700 F1: 0.23846 F2: 0.19735 Total predictions: 14000 True positives: 354 False positives: 615 False negatives: 1646 True negatives: 11385 ['poi', 'shared_receipt_with_poi', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84387 Precision: 0.33169 Recall: 0.16850 F1: 0.22347 F2: 0.18689 Total predictions: 15000 True positives: 337 False positives: 679 False negatives: 1663 True negatives: 12321 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.27230 Precision: 0.12082 Recall: 1.00000 F1: 0.21559 F2: 0.40727 Total predictions: 10000 True positives: 1000 False positives: 7277 False negatives: 0 True negatives: 1723 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.26690 Precision: 0.11467 Recall: 0.94200 F1: 0.20445 F2: 0.38559 Total predictions: 10000 True positives: 942 False positives: 7273 False negatives: 58 True negatives: 1727 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.26050 Precision: 0.16163 Recall: 0.99750 F1: 0.27818 F2: 0.49034 Total predictions: 14000 True positives: 1995 False positives: 10348 False negatives: 5 True negatives: 1652 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.27638 Precision: 0.17430 Recall: 0.99100 F1: 0.29646 F2: 0.51159 Total predictions: 13000 True positives: 1982 False positives: 9389 False negatives: 18 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.25536 Precision: 0.15559 Recall: 0.95150 F1: 0.26744 F2: 0.47032 Total predictions: 14000 True positives: 1903 False positives: 10328 False negatives: 97 True negatives: 1672 ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.27777 Precision: 0.17561 Recall: 1.00000 F1: 0.29875 F2: 0.51576 Total predictions: 13000 True positives: 2000 False positives: 9389 False negatives: 0 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.32820 Precision: 0.16043 Recall: 0.95400 F1: 0.27467 F2: 0.47957 Total predictions: 15000 True positives: 1908 False positives: 9985 False negatives: 92 True negatives: 3015 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.29408 Precision: 0.19100 Recall: 1.00000 F1: 0.32074 F2: 0.54139 Total predictions: 12000 True positives: 2000 False positives: 8471 False negatives: 0 True negatives: 1529 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.28583 Precision: 0.18156 Recall: 0.93650 F1: 0.30416 F2: 0.51130 Total predictions: 12000 True positives: 1873 False positives: 8443 False negatives: 127 True negatives: 1557 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.26064 Precision: 0.16160 Recall: 0.99700 F1: 0.27812 F2: 0.49019 Total predictions: 14000 True positives: 1994 False positives: 10345 False negatives: 6 True negatives: 1655 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'salary'] Accuracy: 0.27715 Precision: 0.17446 Recall: 0.99100 F1: 0.29668 F2: 0.51185 Total predictions: 13000 True positives: 1982 False positives: 9379 False negatives: 18 True negatives: 1621 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.69550 Precision: 0.23631 Recall: 0.50700 F1: 0.32237 F2: 0.41250 Total predictions: 14000 True positives: 1014 False positives: 3277 False negatives: 986 True negatives: 8723 ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.27193 Precision: 0.16265 Recall: 0.98750 F1: 0.27929 F2: 0.49024 Total predictions: 14000 True positives: 1975 False positives: 10168 False negatives: 25 True negatives: 1832 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24853 Precision: 0.15027 Recall: 0.99600 F1: 0.26114 F2: 0.46857 Total predictions: 15000 True positives: 1992 False positives: 11264 False negatives: 8 True negatives: 1736 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.24793 Precision: 0.14969 Recall: 0.99150 F1: 0.26012 F2: 0.46665 Total predictions: 15000 True positives: 1983 False positives: 11264 False negatives: 17 True negatives: 1736 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.28600 Precision: 0.15216 Recall: 0.95250 F1: 0.26240 F2: 0.46418 Total predictions: 15000 True positives: 1905 False positives: 10615 False negatives: 95 True negatives: 2385 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.25753 Precision: 0.15011 Recall: 0.98000 F1: 0.26034 F2: 0.46540 Total predictions: 15000 True positives: 1960 False positives: 11097 False negatives: 40 True negatives: 1903 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.70793 Precision: 0.19022 Recall: 0.36550 F1: 0.25021 F2: 0.30862 Total predictions: 15000 True positives: 731 False positives: 3112 False negatives: 1269 True negatives: 9888 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.62227 Precision: 0.20932 Recall: 0.66000 F1: 0.31784 F2: 0.46134 Total predictions: 15000 True positives: 1320 False positives: 4986 False negatives: 680 True negatives: 8014 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.26530 Precision: 0.10999 Recall: 0.89500 F1: 0.19591 F2: 0.36871 Total predictions: 10000 True positives: 895 False positives: 7242 False negatives: 105 True negatives: 1758 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.26021 Precision: 0.16130 Recall: 0.99500 F1: 0.27760 F2: 0.48926 Total predictions: 14000 True positives: 1990 False positives: 10347 False negatives: 10 True negatives: 1653 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.27638 Precision: 0.17430 Recall: 0.99100 F1: 0.29646 F2: 0.51159 Total predictions: 13000 True positives: 1982 False positives: 9389 False negatives: 18 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.34193 Precision: 0.15695 Recall: 0.82500 F1: 0.26373 F2: 0.44563 Total predictions: 14000 True positives: 1650 False positives: 8863 False negatives: 350 True negatives: 3137 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27054 Precision: 0.16875 Recall: 0.95300 F1: 0.28672 F2: 0.49391 Total predictions: 13000 True positives: 1906 False positives: 9389 False negatives: 94 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.25071 Precision: 0.15176 Recall: 0.92500 F1: 0.26075 F2: 0.45815 Total predictions: 14000 True positives: 1850 False positives: 10340 False negatives: 150 True negatives: 1660 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.27154 Precision: 0.16634 Recall: 0.93100 F1: 0.28225 F2: 0.48505 Total predictions: 13000 True positives: 1862 False positives: 9332 False negatives: 138 True negatives: 1668 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.39107 Precision: 0.15970 Recall: 0.76550 F1: 0.26426 F2: 0.43526 Total predictions: 14000 True positives: 1531 False positives: 8056 False negatives: 469 True negatives: 3944 ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27008 Precision: 0.16831 Recall: 0.95000 F1: 0.28595 F2: 0.49251 Total predictions: 13000 True positives: 1900 False positives: 9389 False negatives: 100 True negatives: 1611 ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.26029 Precision: 0.15916 Recall: 0.97550 F1: 0.27367 F2: 0.48154 Total predictions: 14000 True positives: 1951 False positives: 10307 False negatives: 49 True negatives: 1693 ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.66893 Precision: 0.20585 Recall: 0.46100 F1: 0.28461 F2: 0.36942 Total predictions: 14000 True positives: 922 False positives: 3557 False negatives: 1078 True negatives: 8443 ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.26260 Precision: 0.14931 Recall: 0.96450 F1: 0.25860 F2: 0.46106 Total predictions: 15000 True positives: 1929 False positives: 10990 False negatives: 71 True negatives: 2010 ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.66236 Precision: 0.23385 Recall: 0.59900 F1: 0.33638 F2: 0.45645 Total predictions: 14000 True positives: 1198 False positives: 3925 False negatives: 802 True negatives: 8075 ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.25921 Precision: 0.15858 Recall: 0.97200 F1: 0.27267 F2: 0.47979 Total predictions: 14000 True positives: 1944 False positives: 10315 False negatives: 56 True negatives: 1685 ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.71920 Precision: 0.20569 Recall: 0.38650 F1: 0.26850 F2: 0.32871 Total predictions: 15000 True positives: 773 False positives: 2985 False negatives: 1227 True negatives: 10015 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21314 Precision: 0.14973 Recall: 0.96350 F1: 0.25918 F2: 0.46167 Total predictions: 14000 True positives: 1927 False positives: 10943 False negatives: 73 True negatives: 1057 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.21800 Precision: 0.18864 Recall: 1.00000 F1: 0.31741 F2: 0.53758 Total predictions: 11000 True positives: 2000 False positives: 8602 False negatives: 0 True negatives: 398 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.20809 Precision: 0.17918 Recall: 0.93700 F1: 0.30083 F2: 0.50761 Total predictions: 11000 True positives: 1874 False positives: 8585 False negatives: 126 True negatives: 415 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.18415 Precision: 0.15811 Recall: 0.99500 F1: 0.27286 F2: 0.48334 Total predictions: 13000 True positives: 1990 False positives: 10596 False negatives: 10 True negatives: 404 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.20100 Precision: 0.17225 Recall: 0.99700 F1: 0.29375 F2: 0.50930 Total predictions: 12000 True positives: 1994 False positives: 9582 False negatives: 6 True negatives: 418 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22407 Precision: 0.14062 Recall: 0.86700 F1: 0.24199 F2: 0.42644 Total predictions: 14000 True positives: 1734 False positives: 10597 False negatives: 266 True negatives: 1403 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22831 Precision: 0.16286 Recall: 0.97000 F1: 0.27890 F2: 0.48714 Total predictions: 13000 True positives: 1940 False positives: 9972 False negatives: 60 True negatives: 1028 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.19343 Precision: 0.14830 Recall: 0.97950 F1: 0.25759 F2: 0.46181 Total predictions: 14000 True positives: 1959 False positives: 11251 False negatives: 41 True negatives: 749 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.19929 Precision: 0.14901 Recall: 0.97750 F1: 0.25860 F2: 0.46283 Total predictions: 14000 True positives: 1955 False positives: 11165 False negatives: 45 True negatives: 835 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.21050 Precision: 0.14897 Recall: 0.96050 F1: 0.25794 F2: 0.45968 Total predictions: 14000 True positives: 1921 False positives: 10974 False negatives: 79 True negatives: 1026 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.21686 Precision: 0.15104 Recall: 0.97000 F1: 0.26139 F2: 0.46536 Total predictions: 14000 True positives: 1940 False positives: 10904 False negatives: 60 True negatives: 1096 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.21967 Precision: 0.13352 Recall: 0.88400 F1: 0.23201 F2: 0.41618 Total predictions: 15000 True positives: 1768 False positives: 11473 False negatives: 232 True negatives: 1527 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.21950 Precision: 0.14824 Recall: 0.94050 F1: 0.25611 F2: 0.45459 Total predictions: 14000 True positives: 1881 False positives: 10808 False negatives: 119 True negatives: 1192 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.14367 Precision: 0.10243 Recall: 0.86400 F1: 0.18315 F2: 0.34741 Total predictions: 9000 True positives: 864 False positives: 7571 False negatives: 136 True negatives: 429 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.19775 Precision: 0.17071 Recall: 0.98850 F1: 0.29114 F2: 0.50483 Total predictions: 12000 True positives: 1977 False positives: 9604 False negatives: 23 True negatives: 396 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.20100 Precision: 0.17225 Recall: 0.99700 F1: 0.29375 F2: 0.50930 Total predictions: 12000 True positives: 1994 False positives: 9582 False negatives: 6 True negatives: 418 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.22071 Precision: 0.13927 Recall: 0.86000 F1: 0.23972 F2: 0.42260 Total predictions: 14000 True positives: 1720 False positives: 10630 False negatives: 280 True negatives: 1370 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.20946 Precision: 0.16136 Recall: 0.98600 F1: 0.27734 F2: 0.48761 Total predictions: 13000 True positives: 1972 False positives: 10249 False negatives: 28 True negatives: 751 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.18800 Precision: 0.16219 Recall: 0.92950 F1: 0.27618 F2: 0.47760 Total predictions: 12000 True positives: 1859 False positives: 9603 False negatives: 141 True negatives: 397 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.19417 Precision: 0.16454 Recall: 0.94050 F1: 0.28008 F2: 0.48400 Total predictions: 12000 True positives: 1881 False positives: 9551 False negatives: 119 True negatives: 449 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22086 Precision: 0.13900 Recall: 0.85750 F1: 0.23922 F2: 0.42162 Total predictions: 14000 True positives: 1715 False positives: 10623 False negatives: 285 True negatives: 1377 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.21562 Precision: 0.16142 Recall: 0.97700 F1: 0.27706 F2: 0.48595 Total predictions: 13000 True positives: 1954 False positives: 10151 False negatives: 46 True negatives: 849 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.18423 Precision: 0.15698 Recall: 0.98450 F1: 0.27078 F2: 0.47924 Total predictions: 13000 True positives: 1969 False positives: 10574 False negatives: 31 True negatives: 426 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.21221 Precision: 0.13852 Recall: 0.86500 F1: 0.23880 F2: 0.42218 Total predictions: 14000 True positives: 1730 False positives: 10759 False negatives: 270 True negatives: 1241 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.20886 Precision: 0.14909 Recall: 0.96400 F1: 0.25824 F2: 0.46054 Total predictions: 14000 True positives: 1928 False positives: 11004 False negatives: 72 True negatives: 996 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22214 Precision: 0.13926 Recall: 0.85800 F1: 0.23963 F2: 0.42220 Total predictions: 14000 True positives: 1716 False positives: 10606 False negatives: 284 True negatives: 1394 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.21136 Precision: 0.15058 Recall: 0.97400 F1: 0.26083 F2: 0.46521 Total predictions: 14000 True positives: 1948 False positives: 10989 False negatives: 52 True negatives: 1011 ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22433 Precision: 0.13306 Recall: 0.87350 F1: 0.23095 F2: 0.41341 Total predictions: 15000 True positives: 1747 False positives: 11382 False negatives: 253 True negatives: 1618 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.83671 Precision: 0.39844 Recall: 0.28050 F1: 0.32923 F2: 0.29815 Total predictions: 14000 True positives: 561 False positives: 847 False negatives: 1439 True negatives: 11153 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.83586 Precision: 0.39477 Recall: 0.27950 F1: 0.32728 F2: 0.29684 Total predictions: 14000 True positives: 559 False positives: 857 False negatives: 1441 True negatives: 11143 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.83293 Precision: 0.38382 Recall: 0.28000 F1: 0.32379 F2: 0.29601 Total predictions: 14000 True positives: 560 False positives: 899 False negatives: 1440 True negatives: 11101 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.83343 Precision: 0.38392 Recall: 0.27450 F1: 0.32012 F2: 0.29109 Total predictions: 14000 True positives: 549 False positives: 881 False negatives: 1451 True negatives: 11119 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84287 Precision: 0.35956 Recall: 0.22850 F1: 0.27943 F2: 0.24647 Total predictions: 15000 True positives: 457 False positives: 814 False negatives: 1543 True negatives: 12186 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84057 Precision: 0.42287 Recall: 0.31800 F1: 0.36301 F2: 0.33460 Total predictions: 14000 True positives: 636 False positives: 868 False negatives: 1364 True negatives: 11132 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.78327 Precision: 0.30838 Recall: 0.15450 F1: 0.20586 F2: 0.17163 Total predictions: 11000 True positives: 309 False positives: 693 False negatives: 1691 True negatives: 8307 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.79300 Precision: 0.30000 Recall: 0.18150 F1: 0.22617 F2: 0.19707 Total predictions: 12000 True positives: 363 False positives: 847 False negatives: 1637 True negatives: 9153 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.80417 Precision: 0.33491 Recall: 0.17750 F1: 0.23203 F2: 0.19592 Total predictions: 12000 True positives: 355 False positives: 705 False negatives: 1645 True negatives: 9295 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82536 Precision: 0.26152 Recall: 0.12200 F1: 0.16638 F2: 0.13657 Total predictions: 14000 True positives: 244 False positives: 689 False negatives: 1756 True negatives: 11311 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.82746 Precision: 0.41138 Recall: 0.28200 F1: 0.33462 F2: 0.30093 Total predictions: 13000 True positives: 564 False positives: 807 False negatives: 1436 True negatives: 10193 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78433 Precision: 0.26252 Recall: 0.16250 F1: 0.20074 F2: 0.17590 Total predictions: 12000 True positives: 325 False positives: 913 False negatives: 1675 True negatives: 9087 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.79133 Precision: 0.26493 Recall: 0.14200 F1: 0.18490 F2: 0.15653 Total predictions: 12000 True positives: 284 False positives: 788 False negatives: 1716 True negatives: 9212 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82450 Precision: 0.25244 Recall: 0.11650 F1: 0.15943 F2: 0.13056 Total predictions: 14000 True positives: 233 False positives: 690 False negatives: 1767 True negatives: 11310 ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82777 Precision: 0.41207 Recall: 0.28000 F1: 0.33343 F2: 0.29918 Total predictions: 13000 True positives: 560 False positives: 799 False negatives: 1440 True negatives: 10201 ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.79938 Precision: 0.26687 Recall: 0.17400 F1: 0.21065 F2: 0.18702 Total predictions: 13000 True positives: 348 False positives: 956 False negatives: 1652 True negatives: 10044 ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.81993 Precision: 0.25119 Recall: 0.13150 F1: 0.17263 F2: 0.14535 Total predictions: 14000 True positives: 263 False positives: 784 False negatives: 1737 True negatives: 11216 ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83236 Precision: 0.38189 Recall: 0.28050 F1: 0.32344 F2: 0.29623 Total predictions: 14000 True positives: 561 False positives: 908 False negatives: 1439 True negatives: 11092 ['poi', 'shared_receipt_with_poi', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82436 Precision: 0.25714 Recall: 0.12150 F1: 0.16503 F2: 0.13583 Total predictions: 14000 True positives: 243 False positives: 702 False negatives: 1757 True negatives: 11298 ['poi', 'shared_receipt_with_poi', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.82938 Precision: 0.41628 Recall: 0.27100 F1: 0.32829 F2: 0.29134 Total predictions: 13000 True positives: 542 False positives: 760 False negatives: 1458 True negatives: 10240 ['poi', 'shared_receipt_with_poi', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85060 Precision: 0.39674 Recall: 0.23150 F1: 0.29239 F2: 0.25254 Total predictions: 15000 True positives: 463 False positives: 704 False negatives: 1537 True negatives: 12296 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.83793 Precision: 0.38857 Recall: 0.23450 F1: 0.29249 F2: 0.25470 Total predictions: 14000 True positives: 469 False positives: 738 False negatives: 1531 True negatives: 11262 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.84079 Precision: 0.40934 Recall: 0.25850 F1: 0.31689 F2: 0.27907 Total predictions: 14000 True positives: 517 False positives: 746 False negatives: 1483 True negatives: 11254 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83229 Precision: 0.35968 Recall: 0.22300 F1: 0.27531 F2: 0.24134 Total predictions: 14000 True positives: 446 False positives: 794 False negatives: 1554 True negatives: 11206 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84727 Precision: 0.35258 Recall: 0.17400 F1: 0.23301 F2: 0.19361 Total predictions: 15000 True positives: 348 False positives: 639 False negatives: 1652 True negatives: 12361 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84579 Precision: 0.43715 Recall: 0.27650 F1: 0.33874 F2: 0.29843 Total predictions: 14000 True positives: 553 False positives: 712 False negatives: 1447 True negatives: 11288 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.84157 Precision: 0.41021 Recall: 0.24900 F1: 0.30989 F2: 0.27024 Total predictions: 14000 True positives: 498 False positives: 716 False negatives: 1502 True negatives: 11284 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.83343 Precision: 0.36438 Recall: 0.22300 F1: 0.27667 F2: 0.24176 Total predictions: 14000 True positives: 446 False positives: 778 False negatives: 1554 True negatives: 11222 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84793 Precision: 0.35590 Recall: 0.17350 F1: 0.23328 F2: 0.19331 Total predictions: 15000 True positives: 347 False positives: 628 False negatives: 1653 True negatives: 12372 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84886 Precision: 0.45254 Recall: 0.27650 F1: 0.34327 F2: 0.29983 Total predictions: 14000 True positives: 553 False positives: 669 False negatives: 1447 True negatives: 11331 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.84307 Precision: 0.41397 Recall: 0.23700 F1: 0.30143 F2: 0.25916 Total predictions: 14000 True positives: 474 False positives: 671 False negatives: 1526 True negatives: 11329 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85033 Precision: 0.38072 Recall: 0.19550 F1: 0.25834 F2: 0.21657 Total predictions: 15000 True positives: 391 False positives: 636 False negatives: 1609 True negatives: 12364 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84879 Precision: 0.45004 Recall: 0.26350 F1: 0.33239 F2: 0.28732 Total predictions: 14000 True positives: 527 False positives: 644 False negatives: 1473 True negatives: 11356 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.84333 Precision: 0.32943 Recall: 0.16900 F1: 0.22340 F2: 0.18724 Total predictions: 15000 True positives: 338 False positives: 688 False negatives: 1662 True negatives: 12312 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84707 Precision: 0.44100 Recall: 0.26350 F1: 0.32989 F2: 0.28657 Total predictions: 14000 True positives: 527 False positives: 668 False negatives: 1473 True negatives: 11332 ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84880 Precision: 0.37950 Recall: 0.21100 F1: 0.27121 F2: 0.23156 Total predictions: 15000 True positives: 422 False positives: 690 False negatives: 1578 True negatives: 12310 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77583 Precision: 0.13761 Recall: 0.06550 F1: 0.08875 F2: 0.07317 Total predictions: 12000 True positives: 131 False positives: 821 False negatives: 1869 True negatives: 9179 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78567 Precision: 0.21795 Recall: 0.11050 F1: 0.14665 F2: 0.12259 Total predictions: 12000 True positives: 221 False positives: 793 False negatives: 1779 True negatives: 9207 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82650 Precision: 0.10056 Recall: 0.02700 F1: 0.04257 F2: 0.03163 Total predictions: 14000 True positives: 54 False positives: 483 False negatives: 1946 True negatives: 11517 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.82692 Precision: 0.46452 Recall: 0.25200 F1: 0.32674 F2: 0.27738 Total predictions: 12000 True positives: 504 False positives: 581 False negatives: 1496 True negatives: 9419 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.80023 Precision: 0.21919 Recall: 0.11650 F1: 0.15214 F2: 0.12854 Total predictions: 13000 True positives: 233 False positives: 830 False negatives: 1767 True negatives: 10170 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82364 Precision: 0.18608 Recall: 0.06950 F1: 0.10120 F2: 0.07946 Total predictions: 14000 True positives: 139 False positives: 608 False negatives: 1861 True negatives: 11392 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83279 Precision: 0.37618 Recall: 0.25900 F1: 0.30678 F2: 0.27621 Total predictions: 14000 True positives: 518 False positives: 859 False negatives: 1482 True negatives: 11141 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82757 Precision: 0.17350 Recall: 0.05500 F1: 0.08352 F2: 0.06370 Total predictions: 14000 True positives: 110 False positives: 524 False negatives: 1890 True negatives: 11476 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.83254 Precision: 0.41595 Recall: 0.21900 F1: 0.28693 F2: 0.24191 Total predictions: 13000 True positives: 438 False positives: 615 False negatives: 1562 True negatives: 10385 ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85487 Precision: 0.39909 Recall: 0.17500 F1: 0.24331 F2: 0.19714 Total predictions: 15000 True positives: 350 False positives: 527 False negatives: 1650 True negatives: 12473 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.79700 Precision: 0.21034 Recall: 0.11600 F1: 0.14953 F2: 0.12743 Total predictions: 13000 True positives: 232 False positives: 871 False negatives: 1768 True negatives: 10129 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82379 Precision: 0.18658 Recall: 0.06950 F1: 0.10128 F2: 0.07947 Total predictions: 14000 True positives: 139 False positives: 606 False negatives: 1861 True negatives: 11394 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.83514 Precision: 0.38099 Recall: 0.24650 F1: 0.29933 F2: 0.26522 Total predictions: 14000 True positives: 493 False positives: 801 False negatives: 1507 True negatives: 11199 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.82729 Precision: 0.17241 Recall: 0.05500 F1: 0.08340 F2: 0.06367 Total predictions: 14000 True positives: 110 False positives: 528 False negatives: 1890 True negatives: 11472 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.83000 Precision: 0.40331 Recall: 0.21900 F1: 0.28386 F2: 0.24103 Total predictions: 13000 True positives: 438 False positives: 648 False negatives: 1562 True negatives: 10352 ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85507 Precision: 0.40046 Recall: 0.17500 F1: 0.24356 F2: 0.19721 Total predictions: 15000 True positives: 350 False positives: 524 False negatives: 1650 True negatives: 12476 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.81807 Precision: 0.16929 Recall: 0.07000 F1: 0.09904 F2: 0.07930 Total predictions: 14000 True positives: 140 False positives: 687 False negatives: 1860 True negatives: 11313 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.83600 Precision: 0.38179 Recall: 0.23900 F1: 0.29397 F2: 0.25832 Total predictions: 14000 True positives: 478 False positives: 774 False negatives: 1522 True negatives: 11226 ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85047 Precision: 0.37982 Recall: 0.19200 F1: 0.25506 F2: 0.21307 Total predictions: 15000 True positives: 384 False positives: 627 False negatives: 1616 True negatives: 12373 ['poi', 'shared_receipt_with_poi', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'shared_receipt_with_poi', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84787 Precision: 0.35612 Recall: 0.17450 F1: 0.23423 F2: 0.19432 Total predictions: 15000 True positives: 349 False positives: 631 False negatives: 1651 True negatives: 12369 ['poi', 'from_messages', 'other', 'director_fees', 'resto_dirfees'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'resto_dirfees'] Accuracy: 0.28992 Precision: 0.16396 Recall: 0.88200 F1: 0.27651 F2: 0.47017 Total predictions: 13000 True positives: 1764 False positives: 8995 False negatives: 236 True negatives: 2005 ['poi', 'from_messages', 'other', 'director_fees', 'bonus'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'bonus'] Accuracy: 0.30354 Precision: 0.16664 Recall: 0.88150 F1: 0.28029 F2: 0.47443 Total predictions: 13000 True positives: 1763 False positives: 8817 False negatives: 237 True negatives: 2183 ['poi', 'from_messages', 'other', 'director_fees', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'total_stock_value'] Accuracy: 0.29647 Precision: 0.14701 Recall: 0.89050 F1: 0.25236 F2: 0.44270 Total predictions: 15000 True positives: 1781 False positives: 10334 False negatives: 219 True negatives: 2666 ['poi', 'from_messages', 'other', 'director_fees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'from_poi_to_this_person'] Accuracy: 0.29938 Precision: 0.16579 Recall: 0.88150 F1: 0.27909 F2: 0.47306 Total predictions: 13000 True positives: 1763 False positives: 8871 False negatives: 237 True negatives: 2129 ['poi', 'from_messages', 'other', 'director_fees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'from_this_person_to_poi'] Accuracy: 0.29654 Precision: 0.16521 Recall: 0.88150 F1: 0.27827 F2: 0.47212 Total predictions: 13000 True positives: 1763 False positives: 8908 False negatives: 237 True negatives: 2092 ['poi', 'from_messages', 'other', 'director_fees', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'restricted_stock'] Accuracy: 0.29350 Precision: 0.15442 Recall: 0.88150 F1: 0.26280 F2: 0.45398 Total predictions: 14000 True positives: 1763 False positives: 9654 False negatives: 237 True negatives: 2346 ['poi', 'from_messages', 'other', 'director_fees', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'salary'] Accuracy: 0.29969 Precision: 0.16698 Recall: 0.89050 F1: 0.28123 F2: 0.47707 Total predictions: 13000 True positives: 1781 False positives: 8885 False negatives: 219 True negatives: 2115 ['poi', 'from_messages', 'other', 'director_fees', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'total_payments'] Accuracy: 0.39114 Precision: 0.16106 Recall: 0.77500 F1: 0.26669 F2: 0.43974 Total predictions: 14000 True positives: 1550 False positives: 8074 False negatives: 450 True negatives: 3926 ['poi', 'from_messages', 'other', 'director_fees', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'director_fees', 'exercised_stock_options'] Accuracy: 0.29267 Precision: 0.14533 Recall: 0.88200 F1: 0.24954 F2: 0.43798 Total predictions: 15000 True positives: 1764 False positives: 10374 False negatives: 236 True negatives: 2626 ['poi', 'from_messages', 'other', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'bonus'] Accuracy: 0.21617 Precision: 0.16183 Recall: 0.88600 F1: 0.27367 F2: 0.46755 Total predictions: 12000 True positives: 1772 False positives: 9178 False negatives: 228 True negatives: 822 ['poi', 'from_messages', 'other', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.20657 Precision: 0.13794 Recall: 0.86750 F1: 0.23803 F2: 0.42157 Total predictions: 14000 True positives: 1735 False positives: 10843 False negatives: 265 True negatives: 1157 ['poi', 'from_messages', 'other', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.21583 Precision: 0.16164 Recall: 0.88500 F1: 0.27336 F2: 0.46702 Total predictions: 12000 True positives: 1770 False positives: 9180 False negatives: 230 True negatives: 820 ['poi', 'from_messages', 'other', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.20883 Precision: 0.16041 Recall: 0.88500 F1: 0.27160 F2: 0.46496 Total predictions: 12000 True positives: 1770 False positives: 9264 False negatives: 230 True negatives: 736 ['poi', 'from_messages', 'other', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.20308 Precision: 0.14750 Recall: 0.87450 F1: 0.25242 F2: 0.44038 Total predictions: 13000 True positives: 1749 False positives: 10109 False negatives: 251 True negatives: 891 ['poi', 'from_messages', 'other', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'salary'] Accuracy: 0.21983 Precision: 0.16099 Recall: 0.87400 F1: 0.27189 F2: 0.46346 Total predictions: 12000 True positives: 1748 False positives: 9110 False negatives: 252 True negatives: 890 ['poi', 'from_messages', 'other', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'total_payments'] Accuracy: 0.24714 Precision: 0.13771 Recall: 0.81150 F1: 0.23546 F2: 0.41014 Total predictions: 14000 True positives: 1623 False positives: 10163 False negatives: 377 True negatives: 1837 ['poi', 'from_messages', 'other', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.19650 Precision: 0.13913 Recall: 0.89150 F1: 0.24070 F2: 0.42830 Total predictions: 14000 True positives: 1783 False positives: 11032 False negatives: 217 True negatives: 968 ['poi', 'from_messages', 'other', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'total_stock_value'] Accuracy: 0.84450 Precision: 0.42063 Recall: 0.23450 F1: 0.30112 F2: 0.25727 Total predictions: 14000 True positives: 469 False positives: 646 False negatives: 1531 True negatives: 11354 ['poi', 'from_messages', 'other', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.79492 Precision: 0.25965 Recall: 0.12450 F1: 0.16830 F2: 0.13897 Total predictions: 12000 True positives: 249 False positives: 710 False negatives: 1751 True negatives: 9290 ['poi', 'from_messages', 'other', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.79858 Precision: 0.27362 Recall: 0.12600 F1: 0.17254 F2: 0.14124 Total predictions: 12000 True positives: 252 False positives: 669 False negatives: 1748 True negatives: 9331 ['poi', 'from_messages', 'other', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'restricted_stock'] Accuracy: 0.80077 Precision: 0.21851 Recall: 0.11450 F1: 0.15026 F2: 0.12655 Total predictions: 13000 True positives: 229 False positives: 819 False negatives: 1771 True negatives: 10181 ['poi', 'from_messages', 'other', 'bonus', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'salary'] Accuracy: 0.79375 Precision: 0.23872 Recall: 0.10850 F1: 0.14919 F2: 0.12179 Total predictions: 12000 True positives: 217 False positives: 692 False negatives: 1783 True negatives: 9308 ['poi', 'from_messages', 'other', 'bonus', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'total_payments'] Accuracy: 0.82350 Precision: 0.24092 Recall: 0.10950 F1: 0.15057 F2: 0.12291 Total predictions: 14000 True positives: 219 False positives: 690 False negatives: 1781 True negatives: 11310 ['poi', 'from_messages', 'other', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'bonus', 'exercised_stock_options'] Accuracy: 0.84629 Precision: 0.42950 Recall: 0.23150 F1: 0.30084 F2: 0.25501 Total predictions: 14000 True positives: 463 False positives: 615 False negatives: 1537 True negatives: 11385 ['poi', 'from_messages', 'other', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84679 Precision: 0.42360 Recall: 0.20100 F1: 0.27263 F2: 0.22461 Total predictions: 14000 True positives: 402 False positives: 547 False negatives: 1598 True negatives: 11453 ['poi', 'from_messages', 'other', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84657 Precision: 0.41921 Recall: 0.19200 F1: 0.26337 F2: 0.21534 Total predictions: 14000 True positives: 384 False positives: 532 False negatives: 1616 True negatives: 11468 ['poi', 'from_messages', 'other', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84779 Precision: 0.43597 Recall: 0.22300 F1: 0.29507 F2: 0.24715 Total predictions: 14000 True positives: 446 False positives: 577 False negatives: 1554 True negatives: 11423 ['poi', 'from_messages', 'other', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'salary'] Accuracy: 0.84236 Precision: 0.38954 Recall: 0.18250 F1: 0.24855 F2: 0.20421 Total predictions: 14000 True positives: 365 False positives: 572 False negatives: 1635 True negatives: 11428 ['poi', 'from_messages', 'other', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'total_payments'] Accuracy: 0.84480 Precision: 0.33984 Recall: 0.17400 F1: 0.23016 F2: 0.19282 Total predictions: 15000 True positives: 348 False positives: 676 False negatives: 1652 True negatives: 12324 ['poi', 'from_messages', 'other', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84321 Precision: 0.41240 Recall: 0.22950 F1: 0.29489 F2: 0.25184 Total predictions: 14000 True positives: 459 False positives: 654 False negatives: 1541 True negatives: 11346 ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.74150 Precision: 0.06682 Recall: 0.04250 F1: 0.05196 F2: 0.04584 Total predictions: 12000 True positives: 85 False positives: 1187 False negatives: 1915 True negatives: 8813 ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80308 Precision: 0.16102 Recall: 0.06650 F1: 0.09413 F2: 0.07535 Total predictions: 13000 True positives: 133 False positives: 693 False negatives: 1867 True negatives: 10307 ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79067 Precision: 0.16048 Recall: 0.06050 F1: 0.08787 F2: 0.06911 Total predictions: 12000 True positives: 121 False positives: 633 False negatives: 1879 True negatives: 9367 ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.81507 Precision: 0.04762 Recall: 0.01550 F1: 0.02339 F2: 0.01792 Total predictions: 14000 True positives: 31 False positives: 620 False negatives: 1969 True negatives: 11380 ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83664 Precision: 0.36990 Recall: 0.20400 F1: 0.26297 F2: 0.22410 Total predictions: 14000 True positives: 408 False positives: 695 False negatives: 1592 True negatives: 11305 ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80492 Precision: 0.15641 Recall: 0.06100 F1: 0.08777 F2: 0.06948 Total predictions: 13000 True positives: 122 False positives: 658 False negatives: 1878 True negatives: 10342 ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78208 Precision: 0.14777 Recall: 0.06450 F1: 0.08980 F2: 0.07269 Total predictions: 12000 True positives: 129 False positives: 744 False negatives: 1871 True negatives: 9256 ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.81764 Precision: 0.04448 Recall: 0.01350 F1: 0.02071 F2: 0.01568 Total predictions: 14000 True positives: 27 False positives: 580 False negatives: 1973 True negatives: 11420 ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83836 Precision: 0.37464 Recall: 0.19650 F1: 0.25779 F2: 0.21715 Total predictions: 14000 True positives: 393 False positives: 656 False negatives: 1607 True negatives: 11344 ['poi', 'from_messages', 'other', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'other', 'restricted_stock', 'salary'] Accuracy: 0.79969 Precision: 0.15837 Recall: 0.07000 F1: 0.09709 F2: 0.07879 Total predictions: 13000 True positives: 140 False positives: 744 False negatives: 1860 True negatives: 10256 ['poi', 'from_messages', 'other', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'restricted_stock', 'total_payments'] Accuracy: 0.82193 Precision: 0.18357 Recall: 0.07150 F1: 0.10291 F2: 0.08144 Total predictions: 14000 True positives: 143 False positives: 636 False negatives: 1857 True negatives: 11364 ['poi', 'from_messages', 'other', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84200 Precision: 0.40485 Recall: 0.22550 F1: 0.28966 F2: 0.24742 Total predictions: 14000 True positives: 451 False positives: 663 False negatives: 1549 True negatives: 11337 ['poi', 'from_messages', 'other', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'other', 'salary', 'total_payments'] Accuracy: 0.82257 Precision: 0.17030 Recall: 0.06250 F1: 0.09144 F2: 0.07156 Total predictions: 14000 True positives: 125 False positives: 609 False negatives: 1875 True negatives: 11391 ['poi', 'from_messages', 'other', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'salary', 'exercised_stock_options'] Accuracy: 0.83736 Precision: 0.36355 Recall: 0.18450 F1: 0.24478 F2: 0.20466 Total predictions: 14000 True positives: 369 False positives: 646 False negatives: 1631 True negatives: 11354 ['poi', 'from_messages', 'other', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'other', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85033 Precision: 0.36785 Recall: 0.17050 F1: 0.23300 F2: 0.19099 Total predictions: 15000 True positives: 341 False positives: 586 False negatives: 1659 True negatives: 12414 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.31100 Precision: 0.18704 Recall: 0.93650 F1: 0.31180 F2: 0.51987 Total predictions: 12000 True positives: 1873 False positives: 8141 False negatives: 127 True negatives: 1859 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.26113 Precision: 0.14688 Recall: 0.94450 F1: 0.25422 F2: 0.45276 Total predictions: 15000 True positives: 1889 False positives: 10972 False negatives: 111 True negatives: 2028 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.29040 Precision: 0.11805 Recall: 0.94200 F1: 0.20980 F2: 0.39316 Total predictions: 10000 True positives: 942 False positives: 7038 False negatives: 58 True negatives: 1962 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.28920 Precision: 0.11787 Recall: 0.94200 F1: 0.20952 F2: 0.39276 Total predictions: 10000 True positives: 942 False positives: 7050 False negatives: 58 True negatives: 1950 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.27579 Precision: 0.15696 Recall: 0.93100 F1: 0.26863 F2: 0.46871 Total predictions: 14000 True positives: 1862 False positives: 10001 False negatives: 138 True negatives: 1999 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.29008 Precision: 0.17000 Recall: 0.93100 F1: 0.28750 F2: 0.49122 Total predictions: 13000 True positives: 1862 False positives: 9091 False negatives: 138 True negatives: 1909 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27343 Precision: 0.15285 Recall: 0.89950 F1: 0.26129 F2: 0.45498 Total predictions: 14000 True positives: 1799 False positives: 9971 False negatives: 201 True negatives: 2029 ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.29092 Precision: 0.17131 Recall: 0.94050 F1: 0.28983 F2: 0.49552 Total predictions: 13000 True positives: 1881 False positives: 9099 False negatives: 119 True negatives: 1901 ['poi', 'from_messages', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.28467 Precision: 0.15102 Recall: 0.94450 F1: 0.26041 F2: 0.46055 Total predictions: 15000 True positives: 1889 False positives: 10619 False negatives: 111 True negatives: 2381 ['poi', 'from_messages', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.31608 Precision: 0.18762 Recall: 0.93200 F1: 0.31236 F2: 0.51965 Total predictions: 12000 True positives: 1864 False positives: 8071 False negatives: 136 True negatives: 1929 ['poi', 'from_messages', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30942 Precision: 0.18612 Recall: 0.93200 F1: 0.31028 F2: 0.51735 Total predictions: 12000 True positives: 1864 False positives: 8151 False negatives: 136 True negatives: 1849 ['poi', 'from_messages', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.28993 Precision: 0.16050 Recall: 0.93850 F1: 0.27411 F2: 0.47652 Total predictions: 14000 True positives: 1877 False positives: 9818 False negatives: 123 True negatives: 2182 ['poi', 'from_messages', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'salary'] Accuracy: 0.29685 Precision: 0.17138 Recall: 0.93100 F1: 0.28947 F2: 0.49351 Total predictions: 13000 True positives: 1862 False positives: 9003 False negatives: 138 True negatives: 1997 ['poi', 'from_messages', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.33857 Precision: 0.16062 Recall: 0.85900 F1: 0.27064 F2: 0.45946 Total predictions: 14000 True positives: 1718 False positives: 8978 False negatives: 282 True negatives: 3022 ['poi', 'from_messages', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.29021 Precision: 0.16188 Recall: 0.95000 F1: 0.27663 F2: 0.48133 Total predictions: 14000 True positives: 1900 False positives: 9837 False negatives: 100 True negatives: 2163 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.28960 Precision: 0.15192 Recall: 0.94450 F1: 0.26174 F2: 0.46222 Total predictions: 15000 True positives: 1889 False positives: 10545 False negatives: 111 True negatives: 2455 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.29013 Precision: 0.15202 Recall: 0.94450 F1: 0.26189 F2: 0.46240 Total predictions: 15000 True positives: 1889 False positives: 10537 False negatives: 111 True negatives: 2463 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.29880 Precision: 0.15363 Recall: 0.94450 F1: 0.26427 F2: 0.46536 Total predictions: 15000 True positives: 1889 False positives: 10407 False negatives: 111 True negatives: 2593 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.28807 Precision: 0.15091 Recall: 0.93800 F1: 0.26000 F2: 0.45911 Total predictions: 15000 True positives: 1876 False positives: 10555 False negatives: 124 True negatives: 2445 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.65633 Precision: 0.17046 Recall: 0.40800 F1: 0.24046 F2: 0.31907 Total predictions: 15000 True positives: 816 False positives: 3971 False negatives: 1184 True negatives: 9029 ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.30880 Precision: 0.15439 Recall: 0.93450 F1: 0.26499 F2: 0.46479 Total predictions: 15000 True positives: 1869 False positives: 10237 False negatives: 131 True negatives: 2763 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.28850 Precision: 0.11776 Recall: 0.94200 F1: 0.20936 F2: 0.39253 Total predictions: 10000 True positives: 942 False positives: 7057 False negatives: 58 True negatives: 1943 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.28157 Precision: 0.15746 Recall: 0.92600 F1: 0.26915 F2: 0.46858 Total predictions: 14000 True positives: 1852 False positives: 9910 False negatives: 148 True negatives: 2090 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.29677 Precision: 0.17136 Recall: 0.93100 F1: 0.28945 F2: 0.49348 Total predictions: 13000 True positives: 1862 False positives: 9004 False negatives: 138 True negatives: 1996 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.29464 Precision: 0.15662 Recall: 0.89800 F1: 0.26673 F2: 0.46129 Total predictions: 14000 True positives: 1796 False positives: 9671 False negatives: 204 True negatives: 2329 ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.31069 Precision: 0.17542 Recall: 0.94050 F1: 0.29568 F2: 0.50232 Total predictions: 13000 True positives: 1881 False positives: 8842 False negatives: 119 True negatives: 2158 ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.28586 Precision: 0.15826 Recall: 0.92600 F1: 0.27033 F2: 0.47000 Total predictions: 14000 True positives: 1852 False positives: 9850 False negatives: 148 True negatives: 2150 ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28869 Precision: 0.16972 Recall: 0.93100 F1: 0.28710 F2: 0.49075 Total predictions: 13000 True positives: 1862 False positives: 9109 False negatives: 138 True negatives: 1891 ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.29736 Precision: 0.15714 Recall: 0.89800 F1: 0.26748 F2: 0.46220 Total predictions: 14000 True positives: 1796 False positives: 9633 False negatives: 204 True negatives: 2367 ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.31262 Precision: 0.17577 Recall: 0.94000 F1: 0.29616 F2: 0.50278 Total predictions: 13000 True positives: 1880 False positives: 8816 False negatives: 120 True negatives: 2184 ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.28357 Precision: 0.15772 Recall: 0.92500 F1: 0.26948 F2: 0.46883 Total predictions: 14000 True positives: 1850 False positives: 9880 False negatives: 150 True negatives: 2120 ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.33193 Precision: 0.15547 Recall: 0.82950 F1: 0.26186 F2: 0.44427 Total predictions: 14000 True positives: 1659 False positives: 9012 False negatives: 341 True negatives: 2988 ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.29733 Precision: 0.15324 Recall: 0.94350 F1: 0.26366 F2: 0.46446 Total predictions: 15000 True positives: 1887 False positives: 10427 False negatives: 113 True negatives: 2573 ['poi', 'from_messages', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.31064 Precision: 0.15889 Recall: 0.89100 F1: 0.26969 F2: 0.46370 Total predictions: 14000 True positives: 1782 False positives: 9433 False negatives: 218 True negatives: 2567 ['poi', 'from_messages', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.29979 Precision: 0.16241 Recall: 0.93850 F1: 0.27690 F2: 0.47988 Total predictions: 14000 True positives: 1877 False positives: 9680 False negatives: 123 True negatives: 2320 ['poi', 'from_messages', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.65580 Precision: 0.16373 Recall: 0.38500 F1: 0.22975 F2: 0.30308 Total predictions: 15000 True positives: 770 False positives: 3933 False negatives: 1230 True negatives: 9067 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.19550 Precision: 0.14480 Recall: 0.94400 F1: 0.25108 F2: 0.44869 Total predictions: 14000 True positives: 1888 False positives: 11151 False negatives: 112 True negatives: 849 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.24536 Precision: 0.18617 Recall: 0.93450 F1: 0.31049 F2: 0.51804 Total predictions: 11000 True positives: 1869 False positives: 8170 False negatives: 131 True negatives: 830 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.23755 Precision: 0.18459 Recall: 0.93450 F1: 0.30829 F2: 0.51559 Total predictions: 11000 True positives: 1869 False positives: 8256 False negatives: 131 True negatives: 744 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.20862 Precision: 0.15610 Recall: 0.94050 F1: 0.26776 F2: 0.46908 Total predictions: 13000 True positives: 1881 False positives: 10169 False negatives: 119 True negatives: 831 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.22408 Precision: 0.16951 Recall: 0.93750 F1: 0.28711 F2: 0.49184 Total predictions: 12000 True positives: 1875 False positives: 9186 False negatives: 125 True negatives: 814 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.23800 Precision: 0.13708 Recall: 0.81850 F1: 0.23483 F2: 0.41044 Total predictions: 14000 True positives: 1637 False positives: 10305 False negatives: 363 True negatives: 1695 ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.21331 Precision: 0.15729 Recall: 0.94400 F1: 0.26966 F2: 0.47193 Total predictions: 13000 True positives: 1888 False positives: 10115 False negatives: 112 True negatives: 885 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.19321 Precision: 0.14477 Recall: 0.94700 F1: 0.25114 F2: 0.44918 Total predictions: 14000 True positives: 1894 False positives: 11189 False negatives: 106 True negatives: 811 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.19329 Precision: 0.14478 Recall: 0.94700 F1: 0.25116 F2: 0.44920 Total predictions: 14000 True positives: 1894 False positives: 11188 False negatives: 106 True negatives: 812 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.19736 Precision: 0.14476 Recall: 0.94100 F1: 0.25092 F2: 0.44807 Total predictions: 14000 True positives: 1882 False positives: 11119 False negatives: 118 True negatives: 881 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.20079 Precision: 0.14518 Recall: 0.94000 F1: 0.25152 F2: 0.44871 Total predictions: 14000 True positives: 1880 False positives: 11069 False negatives: 120 True negatives: 931 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.24453 Precision: 0.13184 Recall: 0.83550 F1: 0.22775 F2: 0.40413 Total predictions: 15000 True positives: 1671 False positives: 11003 False negatives: 329 True negatives: 1997 ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.22450 Precision: 0.14427 Recall: 0.89800 F1: 0.24860 F2: 0.43914 Total predictions: 14000 True positives: 1796 False positives: 10653 False negatives: 204 True negatives: 1347 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.18289 Precision: 0.11341 Recall: 0.93200 F1: 0.20221 F2: 0.38140 Total predictions: 9000 True positives: 932 False positives: 7286 False negatives: 68 True negatives: 714 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.21992 Precision: 0.16779 Recall: 0.92950 F1: 0.28427 F2: 0.48718 Total predictions: 12000 True positives: 1859 False positives: 9220 False negatives: 141 True negatives: 780 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.22308 Precision: 0.16933 Recall: 0.93750 F1: 0.28685 F2: 0.49153 Total predictions: 12000 True positives: 1875 False positives: 9198 False negatives: 125 True negatives: 802 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.22536 Precision: 0.13771 Recall: 0.84050 F1: 0.23664 F2: 0.41594 Total predictions: 14000 True positives: 1681 False positives: 10526 False negatives: 319 True negatives: 1474 ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.20977 Precision: 0.15601 Recall: 0.93800 F1: 0.26752 F2: 0.46841 Total predictions: 13000 True positives: 1876 False positives: 10149 False negatives: 124 True negatives: 851 ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.21467 Precision: 0.16685 Recall: 0.92950 F1: 0.28291 F2: 0.48558 Total predictions: 12000 True positives: 1859 False positives: 9283 False negatives: 141 True negatives: 717 ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.21700 Precision: 0.16822 Recall: 0.93750 F1: 0.28526 F2: 0.48966 Total predictions: 12000 True positives: 1875 False positives: 9271 False negatives: 125 True negatives: 729 ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22936 Precision: 0.13637 Recall: 0.82400 F1: 0.23401 F2: 0.41026 Total predictions: 14000 True positives: 1648 False positives: 10437 False negatives: 352 True negatives: 1563 ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.20962 Precision: 0.15598 Recall: 0.93800 F1: 0.26748 F2: 0.46837 Total predictions: 13000 True positives: 1876 False positives: 10151 False negatives: 124 True negatives: 849 ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.20977 Precision: 0.15463 Recall: 0.92600 F1: 0.26501 F2: 0.46353 Total predictions: 13000 True positives: 1852 False positives: 10125 False negatives: 148 True negatives: 875 ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.22614 Precision: 0.13562 Recall: 0.82200 F1: 0.23283 F2: 0.40851 Total predictions: 14000 True positives: 1644 False positives: 10478 False negatives: 356 True negatives: 1522 ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.19579 Precision: 0.14495 Recall: 0.94500 F1: 0.25135 F2: 0.44917 Total predictions: 14000 True positives: 1890 False positives: 11149 False negatives: 110 True negatives: 851 ['poi', 'from_messages', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.24014 Precision: 0.13930 Recall: 0.83400 F1: 0.23873 F2: 0.41754 Total predictions: 14000 True positives: 1668 False positives: 10306 False negatives: 332 True negatives: 1694 ['poi', 'from_messages', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.19543 Precision: 0.14538 Recall: 0.94950 F1: 0.25216 F2: 0.45081 Total predictions: 14000 True positives: 1899 False positives: 11163 False negatives: 101 True negatives: 837 ['poi', 'from_messages', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.25287 Precision: 0.13104 Recall: 0.81750 F1: 0.22588 F2: 0.39923 Total predictions: 15000 True positives: 1635 False positives: 10842 False negatives: 365 True negatives: 2158 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.85271 Precision: 0.47623 Recall: 0.31050 F1: 0.37591 F2: 0.33373 Total predictions: 14000 True positives: 621 False positives: 683 False negatives: 1379 True negatives: 11317 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.85521 Precision: 0.48905 Recall: 0.30150 F1: 0.37303 F2: 0.32655 Total predictions: 14000 True positives: 603 False positives: 630 False negatives: 1397 True negatives: 11370 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.85421 Precision: 0.48419 Recall: 0.31400 F1: 0.38095 F2: 0.33774 Total predictions: 14000 True positives: 628 False positives: 669 False negatives: 1372 True negatives: 11331 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.84764 Precision: 0.44684 Recall: 0.27950 F1: 0.34389 F2: 0.30213 Total predictions: 14000 True positives: 559 False positives: 692 False negatives: 1441 True negatives: 11308 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.85240 Precision: 0.40395 Recall: 0.22500 F1: 0.28902 F2: 0.24687 Total predictions: 15000 True positives: 450 False positives: 664 False negatives: 1550 True negatives: 12336 ['poi', 'from_messages', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.84571 Precision: 0.44536 Recall: 0.32600 F1: 0.37644 F2: 0.34446 Total predictions: 14000 True positives: 652 False positives: 812 False negatives: 1348 True negatives: 11188 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.75564 Precision: 0.28580 Recall: 0.22950 F1: 0.25458 F2: 0.23891 Total predictions: 11000 True positives: 459 False positives: 1147 False negatives: 1541 True negatives: 7853 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80575 Precision: 0.34041 Recall: 0.17650 F1: 0.23247 F2: 0.19531 Total predictions: 12000 True positives: 353 False positives: 684 False negatives: 1647 True negatives: 9316 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.81092 Precision: 0.36345 Recall: 0.17900 F1: 0.23987 F2: 0.19922 Total predictions: 12000 True positives: 358 False positives: 627 False negatives: 1642 True negatives: 9373 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.83450 Precision: 0.29117 Recall: 0.11050 F1: 0.16020 F2: 0.12616 Total predictions: 14000 True positives: 221 False positives: 538 False negatives: 1779 True negatives: 11462 ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84369 Precision: 0.48764 Recall: 0.31550 F1: 0.38312 F2: 0.33947 Total predictions: 13000 True positives: 631 False positives: 663 False negatives: 1369 True negatives: 10337 ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80942 Precision: 0.35806 Recall: 0.18100 F1: 0.24045 F2: 0.20087 Total predictions: 12000 True positives: 362 False positives: 649 False negatives: 1638 True negatives: 9351 ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.80000 Precision: 0.32935 Recall: 0.19300 F1: 0.24338 F2: 0.21042 Total predictions: 12000 True positives: 386 False positives: 786 False negatives: 1614 True negatives: 9214 ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83243 Precision: 0.28046 Recall: 0.11050 F1: 0.15854 F2: 0.12574 Total predictions: 14000 True positives: 221 False positives: 567 False negatives: 1779 True negatives: 11433 ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84608 Precision: 0.49959 Recall: 0.30550 F1: 0.37915 F2: 0.33124 Total predictions: 13000 True positives: 611 False positives: 612 False negatives: 1389 True negatives: 10388 ['poi', 'from_messages', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.81569 Precision: 0.32723 Recall: 0.18750 F1: 0.23840 F2: 0.20501 Total predictions: 13000 True positives: 375 False positives: 771 False negatives: 1625 True negatives: 10229 ['poi', 'from_messages', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.83214 Precision: 0.29651 Recall: 0.12750 F1: 0.17832 F2: 0.14391 Total predictions: 14000 True positives: 255 False positives: 605 False negatives: 1745 True negatives: 11395 ['poi', 'from_messages', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84900 Precision: 0.45839 Recall: 0.31400 F1: 0.37270 F2: 0.33511 Total predictions: 14000 True positives: 628 False positives: 742 False negatives: 1372 True negatives: 11258 ['poi', 'from_messages', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'bonus', 'salary', 'total_payments'] Accuracy: 0.83171 Precision: 0.27694 Recall: 0.11050 F1: 0.15797 F2: 0.12560 Total predictions: 14000 True positives: 221 False positives: 577 False negatives: 1779 True negatives: 11423 ['poi', 'from_messages', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.83985 Precision: 0.46589 Recall: 0.28000 F1: 0.34978 F2: 0.30428 Total predictions: 13000 True positives: 560 False positives: 642 False negatives: 1440 True negatives: 10358 ['poi', 'from_messages', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86100 Precision: 0.45780 Recall: 0.23050 F1: 0.30662 F2: 0.25591 Total predictions: 15000 True positives: 461 False positives: 546 False negatives: 1539 True negatives: 12454 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.86400 Precision: 0.54752 Recall: 0.27650 F1: 0.36744 F2: 0.30688 Total predictions: 14000 True positives: 553 False positives: 457 False negatives: 1447 True negatives: 11543 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.86179 Precision: 0.53286 Recall: 0.26350 F1: 0.35263 F2: 0.29314 Total predictions: 14000 True positives: 527 False positives: 462 False negatives: 1473 True negatives: 11538 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.85214 Precision: 0.46841 Recall: 0.25950 F1: 0.33398 F2: 0.28491 Total predictions: 14000 True positives: 519 False positives: 589 False negatives: 1481 True negatives: 11411 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.85393 Precision: 0.39517 Recall: 0.18000 F1: 0.24734 F2: 0.20200 Total predictions: 15000 True positives: 360 False positives: 551 False negatives: 1640 True negatives: 12449 ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84357 Precision: 0.42692 Recall: 0.27750 F1: 0.33636 F2: 0.29839 Total predictions: 14000 True positives: 555 False positives: 745 False negatives: 1445 True negatives: 11255 ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.86186 Precision: 0.53340 Recall: 0.26350 F1: 0.35274 F2: 0.29317 Total predictions: 14000 True positives: 527 False positives: 461 False negatives: 1473 True negatives: 11539 ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.85586 Precision: 0.49146 Recall: 0.25900 F1: 0.33923 F2: 0.28606 Total predictions: 14000 True positives: 518 False positives: 536 False negatives: 1482 True negatives: 11464 ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85360 Precision: 0.39278 Recall: 0.17950 F1: 0.24640 F2: 0.20137 Total predictions: 15000 True positives: 359 False positives: 555 False negatives: 1641 True negatives: 12445 ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84371 Precision: 0.42758 Recall: 0.27750 F1: 0.33657 F2: 0.29845 Total predictions: 14000 True positives: 555 False positives: 743 False negatives: 1445 True negatives: 11257 ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.85657 Precision: 0.49638 Recall: 0.27450 F1: 0.35351 F2: 0.30145 Total predictions: 14000 True positives: 549 False positives: 557 False negatives: 1451 True negatives: 11443 ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85540 Precision: 0.41351 Recall: 0.20200 F1: 0.27141 F2: 0.22502 Total predictions: 15000 True positives: 404 False positives: 573 False negatives: 1596 True negatives: 12427 ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84671 Precision: 0.43917 Recall: 0.26350 F1: 0.32937 F2: 0.28641 Total predictions: 14000 True positives: 527 False positives: 673 False negatives: 1473 True negatives: 11327 ['poi', 'from_messages', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.85107 Precision: 0.37527 Recall: 0.17600 F1: 0.23962 F2: 0.19691 Total predictions: 15000 True positives: 352 False positives: 586 False negatives: 1648 True negatives: 12414 ['poi', 'from_messages', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84536 Precision: 0.43232 Recall: 0.26350 F1: 0.32743 F2: 0.28582 Total predictions: 14000 True positives: 527 False positives: 692 False negatives: 1473 True negatives: 11308 ['poi', 'from_messages', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84733 Precision: 0.37413 Recall: 0.21550 F1: 0.27348 F2: 0.23547 Total predictions: 15000 True positives: 431 False positives: 721 False negatives: 1569 True negatives: 12279 ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.77967 Precision: 0.19850 Recall: 0.10600 F1: 0.13820 F2: 0.11689 Total predictions: 12000 True positives: 212 False positives: 856 False negatives: 1788 True negatives: 9144 ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.74775 Precision: 0.19085 Recall: 0.15850 F1: 0.17318 F2: 0.16406 Total predictions: 12000 True positives: 317 False positives: 1344 False negatives: 1683 True negatives: 8656 ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83229 Precision: 0.18592 Recall: 0.05150 F1: 0.08066 F2: 0.06021 Total predictions: 14000 True positives: 103 False positives: 451 False negatives: 1897 True negatives: 11549 ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84200 Precision: 0.54771 Recall: 0.29850 F1: 0.38641 F2: 0.32838 Total predictions: 12000 True positives: 597 False positives: 493 False negatives: 1403 True negatives: 9507 ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81646 Precision: 0.28744 Recall: 0.13050 F1: 0.17950 F2: 0.14650 Total predictions: 13000 True positives: 261 False positives: 647 False negatives: 1739 True negatives: 10353 ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.83393 Precision: 0.23051 Recall: 0.06950 F1: 0.10680 F2: 0.08079 Total predictions: 14000 True positives: 139 False positives: 464 False negatives: 1861 True negatives: 11536 ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84600 Precision: 0.43554 Recall: 0.26350 F1: 0.32835 F2: 0.28610 Total predictions: 14000 True positives: 527 False positives: 683 False negatives: 1473 True negatives: 11317 ['poi', 'from_messages', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.83386 Precision: 0.20147 Recall: 0.05500 F1: 0.08641 F2: 0.06436 Total predictions: 14000 True positives: 110 False positives: 436 False negatives: 1890 True negatives: 11564 ['poi', 'from_messages', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.84346 Precision: 0.48393 Recall: 0.26350 F1: 0.34121 F2: 0.28991 Total predictions: 13000 True positives: 527 False positives: 562 False negatives: 1473 True negatives: 10438 ['poi', 'from_messages', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85907 Precision: 0.43214 Recall: 0.18150 F1: 0.25563 F2: 0.20532 Total predictions: 15000 True positives: 363 False positives: 477 False negatives: 1637 True negatives: 12523 ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.81354 Precision: 0.27542 Recall: 0.13000 F1: 0.17663 F2: 0.14535 Total predictions: 13000 True positives: 260 False positives: 684 False negatives: 1740 True negatives: 10316 ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.83379 Precision: 0.22975 Recall: 0.06950 F1: 0.10672 F2: 0.08077 Total predictions: 14000 True positives: 139 False positives: 466 False negatives: 1861 True negatives: 11534 ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84779 Precision: 0.44473 Recall: 0.26350 F1: 0.33093 F2: 0.28688 Total predictions: 14000 True positives: 527 False positives: 658 False negatives: 1473 True negatives: 11342 ['poi', 'from_messages', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83257 Precision: 0.19504 Recall: 0.05500 F1: 0.08580 F2: 0.06422 Total predictions: 14000 True positives: 110 False positives: 454 False negatives: 1890 True negatives: 11546 ['poi', 'from_messages', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84477 Precision: 0.49136 Recall: 0.25600 F1: 0.33662 F2: 0.28312 Total predictions: 13000 True positives: 512 False positives: 530 False negatives: 1488 True negatives: 10470 ['poi', 'from_messages', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86047 Precision: 0.44336 Recall: 0.18200 F1: 0.25806 F2: 0.20633 Total predictions: 15000 True positives: 364 False positives: 457 False negatives: 1636 True negatives: 12543 ['poi', 'from_messages', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.83079 Precision: 0.22172 Recall: 0.07350 F1: 0.11040 F2: 0.08484 Total predictions: 14000 True positives: 147 False positives: 516 False negatives: 1853 True negatives: 11484 ['poi', 'from_messages', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.84750 Precision: 0.44578 Recall: 0.27750 F1: 0.34206 F2: 0.30016 Total predictions: 14000 True positives: 555 False positives: 690 False negatives: 1445 True negatives: 11310 ['poi', 'from_messages', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85607 Precision: 0.42026 Recall: 0.20950 F1: 0.27961 F2: 0.23286 Total predictions: 15000 True positives: 419 False positives: 578 False negatives: 1581 True negatives: 12422 ['poi', 'from_messages', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_messages', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85673 Precision: 0.41427 Recall: 0.18000 F1: 0.25096 F2: 0.20295 Total predictions: 15000 True positives: 360 False positives: 509 False negatives: 1640 True negatives: 12491 ['poi', 'other', 'director_fees', 'resto_dirfees', 'bonus'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'bonus'] Accuracy: 0.31418 Precision: 0.20019 Recall: 0.92550 F1: 0.32918 F2: 0.53665 Total predictions: 11000 True positives: 1851 False positives: 7395 False negatives: 149 True negatives: 1605 ['poi', 'other', 'director_fees', 'resto_dirfees', 'total_stock_value'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'total_stock_value'] Accuracy: 0.23960 Precision: 0.14274 Recall: 0.93950 F1: 0.24782 F2: 0.44391 Total predictions: 15000 True positives: 1879 False positives: 11285 False negatives: 121 True negatives: 1715 ['poi', 'other', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person'] Accuracy: 0.27631 Precision: 0.16792 Recall: 0.93650 F1: 0.28478 F2: 0.48893 Total predictions: 13000 True positives: 1873 False positives: 9281 False negatives: 127 True negatives: 1719 ['poi', 'other', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi'] Accuracy: 0.28650 Precision: 0.17585 Recall: 0.89000 F1: 0.29368 F2: 0.49112 Total predictions: 12000 True positives: 1780 False positives: 8342 False negatives: 220 True negatives: 1658 ['poi', 'other', 'director_fees', 'resto_dirfees', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'restricted_stock'] Accuracy: 0.26754 Precision: 0.16705 Recall: 0.94350 F1: 0.28384 F2: 0.48896 Total predictions: 13000 True positives: 1887 False positives: 9409 False negatives: 113 True negatives: 1591 ['poi', 'other', 'director_fees', 'resto_dirfees', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'salary'] Accuracy: 0.30117 Precision: 0.18585 Recall: 0.94450 F1: 0.31059 F2: 0.51998 Total predictions: 12000 True positives: 1889 False positives: 8275 False negatives: 111 True negatives: 1725 ['poi', 'other', 'director_fees', 'resto_dirfees', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'total_payments'] Accuracy: 0.27823 Precision: 0.16931 Recall: 0.94500 F1: 0.28717 F2: 0.49314 Total predictions: 13000 True positives: 1890 False positives: 9273 False negatives: 110 True negatives: 1727 ['poi', 'other', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'resto_dirfees', 'exercised_stock_options'] Accuracy: 0.25364 Precision: 0.15489 Recall: 0.94800 F1: 0.26627 F2: 0.46836 Total predictions: 14000 True positives: 1896 False positives: 10345 False negatives: 104 True negatives: 1655 ['poi', 'other', 'director_fees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'total_stock_value'] Accuracy: 0.69187 Precision: 0.24943 Recall: 0.65250 F1: 0.36090 F2: 0.49312 Total predictions: 15000 True positives: 1305 False positives: 3927 False negatives: 695 True negatives: 9073 ['poi', 'other', 'director_fees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.27300 Precision: 0.16740 Recall: 0.93750 F1: 0.28407 F2: 0.48826 Total predictions: 13000 True positives: 1875 False positives: 9326 False negatives: 125 True negatives: 1674 ['poi', 'other', 'director_fees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.28658 Precision: 0.17568 Recall: 0.88850 F1: 0.29336 F2: 0.49048 Total predictions: 12000 True positives: 1777 False positives: 8338 False negatives: 223 True negatives: 1662 ['poi', 'other', 'director_fees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'restricted_stock'] Accuracy: 0.26264 Precision: 0.15644 Recall: 0.94750 F1: 0.26855 F2: 0.47109 Total predictions: 14000 True positives: 1895 False positives: 10218 False negatives: 105 True negatives: 1782 ['poi', 'other', 'director_fees', 'bonus', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'salary'] Accuracy: 0.30317 Precision: 0.18611 Recall: 0.94300 F1: 0.31086 F2: 0.52002 Total predictions: 12000 True positives: 1886 False positives: 8248 False negatives: 114 True negatives: 1752 ['poi', 'other', 'director_fees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'total_payments'] Accuracy: 0.72231 Precision: 0.18157 Recall: 0.22950 F1: 0.20274 F2: 0.21799 Total predictions: 13000 True positives: 459 False positives: 2069 False negatives: 1541 True negatives: 8931 ['poi', 'other', 'director_fees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'bonus', 'exercised_stock_options'] Accuracy: 0.56136 Precision: 0.21231 Recall: 0.76400 F1: 0.33228 F2: 0.50273 Total predictions: 14000 True positives: 1528 False positives: 5669 False negatives: 472 True negatives: 6331 ['poi', 'other', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.27080 Precision: 0.14520 Recall: 0.91450 F1: 0.25062 F2: 0.44402 Total predictions: 15000 True positives: 1829 False positives: 10767 False negatives: 171 True negatives: 2233 ['poi', 'other', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.27647 Precision: 0.14409 Recall: 0.89600 F1: 0.24825 F2: 0.43842 Total predictions: 15000 True positives: 1792 False positives: 10645 False negatives: 208 True negatives: 2355 ['poi', 'other', 'director_fees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.68627 Precision: 0.21647 Recall: 0.51650 F1: 0.30508 F2: 0.40440 Total predictions: 15000 True positives: 1033 False positives: 3739 False negatives: 967 True negatives: 9261 ['poi', 'other', 'director_fees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'salary'] Accuracy: 0.55067 Precision: 0.20762 Recall: 0.84150 F1: 0.33307 F2: 0.52248 Total predictions: 15000 True positives: 1683 False positives: 6423 False negatives: 317 True negatives: 6577 ['poi', 'other', 'director_fees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'total_payments'] Accuracy: 0.77520 Precision: 0.22339 Recall: 0.27700 F1: 0.24732 F2: 0.26431 Total predictions: 15000 True positives: 554 False positives: 1926 False negatives: 1446 True negatives: 11074 ['poi', 'other', 'director_fees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.70573 Precision: 0.19505 Recall: 0.38600 F1: 0.25915 F2: 0.32280 Total predictions: 15000 True positives: 772 False positives: 3186 False negatives: 1228 True negatives: 9814 ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.27231 Precision: 0.16066 Recall: 0.88300 F1: 0.27186 F2: 0.46493 Total predictions: 13000 True positives: 1766 False positives: 9226 False negatives: 234 True negatives: 1774 ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.25507 Precision: 0.15452 Recall: 0.94250 F1: 0.26551 F2: 0.46661 Total predictions: 14000 True positives: 1885 False positives: 10314 False negatives: 115 True negatives: 1686 ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.27877 Precision: 0.16763 Recall: 0.93000 F1: 0.28406 F2: 0.48701 Total predictions: 13000 True positives: 1860 False positives: 9236 False negatives: 140 True negatives: 1764 ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.74993 Precision: 0.20741 Recall: 0.26600 F1: 0.23308 F2: 0.25177 Total predictions: 14000 True positives: 532 False positives: 2033 False negatives: 1468 True negatives: 9967 ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.26107 Precision: 0.15394 Recall: 0.92800 F1: 0.26407 F2: 0.46268 Total predictions: 14000 True positives: 1856 False positives: 10201 False negatives: 144 True negatives: 1799 ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.25679 Precision: 0.14929 Recall: 0.89450 F1: 0.25588 F2: 0.44763 Total predictions: 14000 True positives: 1789 False positives: 10194 False negatives: 211 True negatives: 1806 ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.27854 Precision: 0.16303 Recall: 0.89250 F1: 0.27570 F2: 0.47100 Total predictions: 13000 True positives: 1785 False positives: 9164 False negatives: 215 True negatives: 1836 ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.74621 Precision: 0.19632 Recall: 0.25100 F1: 0.22032 F2: 0.23776 Total predictions: 14000 True positives: 502 False positives: 2055 False negatives: 1498 True negatives: 9945 ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27679 Precision: 0.15000 Recall: 0.87050 F1: 0.25590 F2: 0.44397 Total predictions: 14000 True positives: 1741 False positives: 9866 False negatives: 259 True negatives: 2134 ['poi', 'other', 'director_fees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'director_fees', 'restricted_stock', 'salary'] Accuracy: 0.25593 Precision: 0.15479 Recall: 0.94350 F1: 0.26594 F2: 0.46729 Total predictions: 14000 True positives: 1887 False positives: 10304 False negatives: 113 True negatives: 1696 ['poi', 'other', 'director_fees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'restricted_stock', 'total_payments'] Accuracy: 0.73450 Precision: 0.13913 Recall: 0.16550 F1: 0.15118 F2: 0.15946 Total predictions: 14000 True positives: 331 False positives: 2048 False negatives: 1669 True negatives: 9952 ['poi', 'other', 'director_fees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.60673 Precision: 0.18863 Recall: 0.59050 F1: 0.28592 F2: 0.41407 Total predictions: 15000 True positives: 1181 False positives: 5080 False negatives: 819 True negatives: 7920 ['poi', 'other', 'director_fees', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'director_fees', 'salary', 'total_payments'] Accuracy: 0.74185 Precision: 0.25803 Recall: 0.36150 F1: 0.30112 F2: 0.33466 Total predictions: 13000 True positives: 723 False positives: 2079 False negatives: 1277 True negatives: 8921 ['poi', 'other', 'director_fees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'salary', 'exercised_stock_options'] Accuracy: 0.38821 Precision: 0.17663 Recall: 0.89650 F1: 0.29512 F2: 0.49391 Total predictions: 14000 True positives: 1793 False positives: 8358 False negatives: 207 True negatives: 3642 ['poi', 'other', 'director_fees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'director_fees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.75171 Precision: 0.21615 Recall: 0.28100 F1: 0.24435 F2: 0.26509 Total predictions: 14000 True positives: 562 False positives: 2038 False negatives: 1438 True negatives: 9962 ['poi', 'other', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.21143 Precision: 0.14229 Recall: 0.89900 F1: 0.24570 F2: 0.43565 Total predictions: 14000 True positives: 1798 False positives: 10838 False negatives: 202 True negatives: 1162 ['poi', 'other', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.21064 Precision: 0.18033 Recall: 0.94250 F1: 0.30274 F2: 0.51076 Total predictions: 11000 True positives: 1885 False positives: 8568 False negatives: 115 True negatives: 432 ['poi', 'other', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.20318 Precision: 0.17176 Recall: 0.88500 F1: 0.28769 F2: 0.48347 Total predictions: 11000 True positives: 1770 False positives: 8535 False negatives: 230 True negatives: 465 ['poi', 'other', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.19267 Precision: 0.16440 Recall: 0.94150 F1: 0.27992 F2: 0.48396 Total predictions: 12000 True positives: 1883 False positives: 9571 False negatives: 117 True negatives: 429 ['poi', 'other', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.22640 Precision: 0.19772 Recall: 0.93800 F1: 0.32660 F2: 0.53637 Total predictions: 10000 True positives: 1876 False positives: 7612 False negatives: 124 True negatives: 388 ['poi', 'other', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.22692 Precision: 0.15036 Recall: 0.86550 F1: 0.25622 F2: 0.44357 Total predictions: 13000 True positives: 1731 False positives: 9781 False negatives: 269 True negatives: 1219 ['poi', 'other', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.22269 Precision: 0.15431 Recall: 0.90450 F1: 0.26364 F2: 0.45860 Total predictions: 13000 True positives: 1809 False positives: 9914 False negatives: 191 True negatives: 1086 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.21500 Precision: 0.14063 Recall: 0.87950 F1: 0.24249 F2: 0.42886 Total predictions: 14000 True positives: 1759 False positives: 10749 False negatives: 241 True negatives: 1251 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.20907 Precision: 0.14169 Recall: 0.89700 F1: 0.24473 F2: 0.43415 Total predictions: 14000 True positives: 1794 False positives: 10867 False negatives: 206 True negatives: 1133 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.21636 Precision: 0.14148 Recall: 0.88500 F1: 0.24395 F2: 0.43148 Total predictions: 14000 True positives: 1770 False positives: 10741 False negatives: 230 True negatives: 1259 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.21279 Precision: 0.14194 Recall: 0.89400 F1: 0.24498 F2: 0.43404 Total predictions: 14000 True positives: 1788 False positives: 10809 False negatives: 212 True negatives: 1191 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.22793 Precision: 0.13271 Recall: 0.86550 F1: 0.23014 F2: 0.41130 Total predictions: 15000 True positives: 1731 False positives: 11312 False negatives: 269 True negatives: 1688 ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.21900 Precision: 0.14298 Recall: 0.89450 F1: 0.24655 F2: 0.43609 Total predictions: 14000 True positives: 1789 False positives: 10723 False negatives: 211 True negatives: 1277 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.20173 Precision: 0.17067 Recall: 0.87850 F1: 0.28581 F2: 0.48019 Total predictions: 11000 True positives: 1757 False positives: 8538 False negatives: 243 True negatives: 462 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.17900 Precision: 0.15054 Recall: 0.93400 F1: 0.25928 F2: 0.45764 Total predictions: 13000 True positives: 1868 False positives: 10541 False negatives: 132 True negatives: 459 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.19575 Precision: 0.16428 Recall: 0.93600 F1: 0.27951 F2: 0.48260 Total predictions: 12000 True positives: 1872 False positives: 9523 False negatives: 128 True negatives: 477 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21864 Precision: 0.13953 Recall: 0.86500 F1: 0.24029 F2: 0.42404 Total predictions: 14000 True positives: 1730 False positives: 10669 False negatives: 270 True negatives: 1331 ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.22831 Precision: 0.15355 Recall: 0.89000 F1: 0.26192 F2: 0.45427 Total predictions: 13000 True positives: 1780 False positives: 9812 False negatives: 220 True negatives: 1188 ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.18342 Precision: 0.15658 Recall: 0.88900 F1: 0.26627 F2: 0.45931 Total predictions: 12000 True positives: 1778 False positives: 9577 False negatives: 222 True negatives: 423 ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20327 Precision: 0.17063 Recall: 0.87600 F1: 0.28562 F2: 0.47953 Total predictions: 11000 True positives: 1752 False positives: 8516 False negatives: 248 True negatives: 484 ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.23054 Precision: 0.14994 Recall: 0.85700 F1: 0.25523 F2: 0.44105 Total predictions: 13000 True positives: 1714 False positives: 9717 False negatives: 286 True negatives: 1283 ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.21631 Precision: 0.15217 Recall: 0.89550 F1: 0.26013 F2: 0.45296 Total predictions: 13000 True positives: 1791 False positives: 9979 False negatives: 209 True negatives: 1021 ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.19575 Precision: 0.16487 Recall: 0.94100 F1: 0.28058 F2: 0.48468 Total predictions: 12000 True positives: 1882 False positives: 9533 False negatives: 118 True negatives: 467 ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.21157 Precision: 0.13755 Recall: 0.85750 F1: 0.23707 F2: 0.41895 Total predictions: 14000 True positives: 1715 False positives: 10753 False negatives: 285 True negatives: 1247 ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.21600 Precision: 0.14205 Recall: 0.89050 F1: 0.24501 F2: 0.43359 Total predictions: 14000 True positives: 1781 False positives: 10757 False negatives: 219 True negatives: 1243 ['poi', 'other', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.22531 Precision: 0.14795 Recall: 0.84800 F1: 0.25195 F2: 0.43570 Total predictions: 13000 True positives: 1696 False positives: 9767 False negatives: 304 True negatives: 1233 ['poi', 'other', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.22338 Precision: 0.15478 Recall: 0.90750 F1: 0.26446 F2: 0.46005 Total predictions: 13000 True positives: 1815 False positives: 9911 False negatives: 185 True negatives: 1089 ['poi', 'other', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22536 Precision: 0.14141 Recall: 0.87200 F1: 0.24335 F2: 0.42886 Total predictions: 14000 True positives: 1744 False positives: 10589 False negatives: 256 True negatives: 1411 ['poi', 'other', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.84064 Precision: 0.40086 Recall: 0.23350 F1: 0.29510 F2: 0.25477 Total predictions: 14000 True positives: 467 False positives: 698 False negatives: 1533 True negatives: 11302 ['poi', 'other', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.84100 Precision: 0.40225 Recall: 0.23250 F1: 0.29468 F2: 0.25393 Total predictions: 14000 True positives: 465 False positives: 691 False negatives: 1535 True negatives: 11309 ['poi', 'other', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.84329 Precision: 0.41551 Recall: 0.23850 F1: 0.30305 F2: 0.26071 Total predictions: 14000 True positives: 477 False positives: 671 False negatives: 1523 True negatives: 11329 ['poi', 'other', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.84107 Precision: 0.40053 Recall: 0.22650 F1: 0.28936 F2: 0.24806 Total predictions: 14000 True positives: 453 False positives: 678 False negatives: 1547 True negatives: 11322 ['poi', 'other', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.84180 Precision: 0.35257 Recall: 0.22300 F1: 0.27320 F2: 0.24069 Total predictions: 15000 True positives: 446 False positives: 819 False negatives: 1554 True negatives: 12181 ['poi', 'other', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.85086 Precision: 0.46376 Recall: 0.28150 F1: 0.35034 F2: 0.30551 Total predictions: 14000 True positives: 563 False positives: 651 False negatives: 1437 True negatives: 11349 ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.77709 Precision: 0.23963 Recall: 0.10400 F1: 0.14505 F2: 0.11728 Total predictions: 11000 True positives: 208 False positives: 660 False negatives: 1792 True negatives: 8340 ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.80762 Precision: 0.23323 Recall: 0.10950 F1: 0.14903 F2: 0.12250 Total predictions: 13000 True positives: 219 False positives: 720 False negatives: 1781 True negatives: 10280 ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.79545 Precision: 0.31563 Recall: 0.10700 F1: 0.15982 F2: 0.12330 Total predictions: 11000 True positives: 214 False positives: 464 False negatives: 1786 True negatives: 8536 ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.82408 Precision: 0.30841 Recall: 0.11550 F1: 0.16806 F2: 0.13202 Total predictions: 13000 True positives: 231 False positives: 518 False negatives: 1769 True negatives: 10482 ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84069 Precision: 0.46660 Recall: 0.24800 F1: 0.32387 F2: 0.27364 Total predictions: 13000 True positives: 496 False positives: 567 False negatives: 1504 True negatives: 10433 ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.78817 Precision: 0.22459 Recall: 0.11050 F1: 0.14812 F2: 0.12300 Total predictions: 12000 True positives: 221 False positives: 763 False negatives: 1779 True negatives: 9237 ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78236 Precision: 0.26379 Recall: 0.11000 F1: 0.15526 F2: 0.12452 Total predictions: 11000 True positives: 220 False positives: 614 False negatives: 1780 True negatives: 8386 ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82423 Precision: 0.31225 Recall: 0.11850 F1: 0.17180 F2: 0.13529 Total predictions: 13000 True positives: 237 False positives: 522 False negatives: 1763 True negatives: 10478 ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83992 Precision: 0.46176 Recall: 0.24450 F1: 0.31971 F2: 0.26990 Total predictions: 13000 True positives: 489 False positives: 570 False negatives: 1511 True negatives: 10430 ['poi', 'other', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.79017 Precision: 0.22151 Recall: 0.10300 F1: 0.14061 F2: 0.11534 Total predictions: 12000 True positives: 206 False positives: 724 False negatives: 1794 True negatives: 9276 ['poi', 'other', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.81671 Precision: 0.23601 Recall: 0.12650 F1: 0.16471 F2: 0.13944 Total predictions: 14000 True positives: 253 False positives: 819 False negatives: 1747 True negatives: 11181 ['poi', 'other', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84214 Precision: 0.40917 Recall: 0.23650 F1: 0.29975 F2: 0.25830 Total predictions: 14000 True positives: 473 False positives: 683 False negatives: 1527 True negatives: 11317 ['poi', 'other', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'bonus', 'salary', 'total_payments'] Accuracy: 0.82315 Precision: 0.31052 Recall: 0.12250 F1: 0.17569 F2: 0.13938 Total predictions: 13000 True positives: 245 False positives: 544 False negatives: 1755 True negatives: 10456 ['poi', 'other', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.83500 Precision: 0.42857 Recall: 0.21750 F1: 0.28856 F2: 0.24126 Total predictions: 13000 True positives: 435 False positives: 580 False negatives: 1565 True negatives: 10420 ['poi', 'other', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84257 Precision: 0.40941 Recall: 0.23050 F1: 0.29495 F2: 0.25258 Total predictions: 14000 True positives: 461 False positives: 665 False negatives: 1539 True negatives: 11335 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.84829 Precision: 0.42689 Recall: 0.18100 F1: 0.25421 F2: 0.20457 Total predictions: 14000 True positives: 362 False positives: 486 False negatives: 1638 True negatives: 11514 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.85329 Precision: 0.46521 Recall: 0.18050 F1: 0.26009 F2: 0.20567 Total predictions: 14000 True positives: 361 False positives: 415 False negatives: 1639 True negatives: 11585 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.84486 Precision: 0.40359 Recall: 0.18000 F1: 0.24896 F2: 0.20243 Total predictions: 14000 True positives: 360 False positives: 532 False negatives: 1640 True negatives: 11468 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84027 Precision: 0.31530 Recall: 0.16900 F1: 0.22005 F2: 0.18629 Total predictions: 15000 True positives: 338 False positives: 734 False negatives: 1662 True negatives: 12266 ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.84743 Precision: 0.43411 Recall: 0.22400 F1: 0.29551 F2: 0.24801 Total predictions: 14000 True positives: 448 False positives: 584 False negatives: 1552 True negatives: 11416 ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85050 Precision: 0.44404 Recall: 0.18450 F1: 0.26069 F2: 0.20892 Total predictions: 14000 True positives: 369 False positives: 462 False negatives: 1631 True negatives: 11538 ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.84614 Precision: 0.41170 Recall: 0.17950 F1: 0.25000 F2: 0.20232 Total predictions: 14000 True positives: 359 False positives: 513 False negatives: 1641 True negatives: 11487 ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84020 Precision: 0.31500 Recall: 0.16900 F1: 0.21998 F2: 0.18627 Total predictions: 15000 True positives: 338 False positives: 735 False negatives: 1662 True negatives: 12265 ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84986 Precision: 0.45124 Recall: 0.23600 F1: 0.30991 F2: 0.26089 Total predictions: 14000 True positives: 472 False positives: 574 False negatives: 1528 True negatives: 11426 ['poi', 'other', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.84829 Precision: 0.42706 Recall: 0.18150 F1: 0.25474 F2: 0.20508 Total predictions: 14000 True positives: 363 False positives: 487 False negatives: 1637 True negatives: 11513 ['poi', 'other', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.84707 Precision: 0.35271 Recall: 0.17600 F1: 0.23482 F2: 0.19560 Total predictions: 15000 True positives: 352 False positives: 646 False negatives: 1648 True negatives: 12354 ['poi', 'other', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85100 Precision: 0.45809 Recall: 0.23500 F1: 0.31064 F2: 0.26036 Total predictions: 14000 True positives: 470 False positives: 556 False negatives: 1530 True negatives: 11444 ['poi', 'other', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.83693 Precision: 0.30018 Recall: 0.16750 F1: 0.21502 F2: 0.18374 Total predictions: 15000 True positives: 335 False positives: 781 False negatives: 1665 True negatives: 12219 ['poi', 'other', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84986 Precision: 0.45068 Recall: 0.23300 F1: 0.30719 F2: 0.25791 Total predictions: 14000 True positives: 466 False positives: 568 False negatives: 1534 True negatives: 11432 ['poi', 'other', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84793 Precision: 0.36930 Recall: 0.19850 F1: 0.25821 F2: 0.21873 Total predictions: 15000 True positives: 397 False positives: 678 False negatives: 1603 True negatives: 12322 ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.79423 Precision: 0.10892 Recall: 0.04700 F1: 0.06567 F2: 0.05303 Total predictions: 13000 True positives: 94 False positives: 769 False negatives: 1906 True negatives: 10231 ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78227 Precision: 0.16239 Recall: 0.04750 F1: 0.07350 F2: 0.05533 Total predictions: 11000 True positives: 95 False positives: 490 False negatives: 1905 True negatives: 8510 ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.82343 Precision: 0.00833 Recall: 0.00200 F1: 0.00323 F2: 0.00236 Total predictions: 14000 True positives: 4 False positives: 476 False negatives: 1996 True negatives: 11524 ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83938 Precision: 0.44359 Recall: 0.17300 F1: 0.24892 F2: 0.19704 Total predictions: 13000 True positives: 346 False positives: 434 False negatives: 1654 True negatives: 10566 ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.80115 Precision: 0.12548 Recall: 0.04900 F1: 0.07048 F2: 0.05580 Total predictions: 13000 True positives: 98 False positives: 683 False negatives: 1902 True negatives: 10317 ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.81436 Precision: 0.13520 Recall: 0.05550 F1: 0.07870 F2: 0.06292 Total predictions: 14000 True positives: 111 False positives: 710 False negatives: 1889 True negatives: 11290 ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84757 Precision: 0.42369 Recall: 0.18600 F1: 0.25851 F2: 0.20951 Total predictions: 14000 True positives: 372 False positives: 506 False negatives: 1628 True negatives: 11494 ['poi', 'other', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82454 Precision: 0.21150 Recall: 0.05150 F1: 0.08283 F2: 0.06068 Total predictions: 13000 True positives: 103 False positives: 384 False negatives: 1897 True negatives: 10616 ['poi', 'other', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.84162 Precision: 0.46335 Recall: 0.18650 F1: 0.26595 F2: 0.21181 Total predictions: 13000 True positives: 373 False positives: 432 False negatives: 1627 True negatives: 10568 ['poi', 'other', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83514 Precision: 0.34692 Recall: 0.17450 F1: 0.23220 F2: 0.19376 Total predictions: 14000 True positives: 349 False positives: 657 False negatives: 1651 True negatives: 11343 ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.78367 Precision: 0.13300 Recall: 0.05400 F1: 0.07681 F2: 0.06128 Total predictions: 12000 True positives: 108 False positives: 704 False negatives: 1892 True negatives: 9296 ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.81786 Precision: 0.15711 Recall: 0.06300 F1: 0.08994 F2: 0.07157 Total predictions: 14000 True positives: 126 False positives: 676 False negatives: 1874 True negatives: 11324 ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84829 Precision: 0.42922 Recall: 0.18800 F1: 0.26147 F2: 0.21181 Total predictions: 14000 True positives: 376 False positives: 500 False negatives: 1624 True negatives: 11500 ['poi', 'other', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.82423 Precision: 0.21893 Recall: 0.05550 F1: 0.08855 F2: 0.06524 Total predictions: 13000 True positives: 111 False positives: 396 False negatives: 1889 True negatives: 10604 ['poi', 'other', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84154 Precision: 0.46212 Recall: 0.18300 F1: 0.26218 F2: 0.20814 Total predictions: 13000 True positives: 366 False positives: 426 False negatives: 1634 True negatives: 10574 ['poi', 'other', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83729 Precision: 0.35903 Recall: 0.17700 F1: 0.23711 F2: 0.19697 Total predictions: 14000 True positives: 354 False positives: 632 False negatives: 1646 True negatives: 11368 ['poi', 'other', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'other', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.81743 Precision: 0.16344 Recall: 0.06750 F1: 0.09554 F2: 0.07648 Total predictions: 14000 True positives: 135 False positives: 691 False negatives: 1865 True negatives: 11309 ['poi', 'other', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.84179 Precision: 0.38624 Recall: 0.18250 F1: 0.24788 F2: 0.20402 Total predictions: 14000 True positives: 365 False positives: 580 False negatives: 1635 True negatives: 11420 ['poi', 'other', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84467 Precision: 0.33887 Recall: 0.17350 F1: 0.22950 F2: 0.19227 Total predictions: 15000 True positives: 347 False positives: 677 False negatives: 1653 True negatives: 12323 ['poi', 'other', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'other', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.83721 Precision: 0.35484 Recall: 0.17050 F1: 0.23033 F2: 0.19027 Total predictions: 14000 True positives: 341 False positives: 620 False negatives: 1659 True negatives: 11380 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'total_stock_value'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'total_stock_value'] Accuracy: 0.26036 Precision: 0.16188 Recall: 1.00000 F1: 0.27865 F2: 0.49128 Total predictions: 14000 True positives: 2000 False positives: 10355 False negatives: 0 True negatives: 1645 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'from_poi_to_this_person'] Accuracy: 0.30083 Precision: 0.19249 Recall: 1.00000 F1: 0.32284 F2: 0.54377 Total predictions: 12000 True positives: 2000 False positives: 8390 False negatives: 0 True negatives: 1610 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'from_this_person_to_poi'] Accuracy: 0.30973 Precision: 0.20062 Recall: 0.93700 F1: 0.33048 F2: 0.54034 Total predictions: 11000 True positives: 1874 False positives: 7467 False negatives: 126 True negatives: 1533 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'restricted_stock'] Accuracy: 0.27992 Precision: 0.17541 Recall: 0.99450 F1: 0.29822 F2: 0.51425 Total predictions: 13000 True positives: 1989 False positives: 9350 False negatives: 11 True negatives: 1650 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'salary'] Accuracy: 0.32400 Precision: 0.21110 Recall: 0.99300 F1: 0.34818 F2: 0.57043 Total predictions: 11000 True positives: 1986 False positives: 7422 False negatives: 14 True negatives: 1578 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'total_payments'] Accuracy: 0.27708 Precision: 0.16961 Recall: 0.94950 F1: 0.28781 F2: 0.49463 Total predictions: 13000 True positives: 1899 False positives: 9297 False negatives: 101 True negatives: 1703 ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'bonus', 'exercised_stock_options'] Accuracy: 0.26086 Precision: 0.16197 Recall: 1.00000 F1: 0.27878 F2: 0.49145 Total predictions: 14000 True positives: 2000 False positives: 10348 False negatives: 0 True negatives: 1652 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.25843 Precision: 0.16152 Recall: 1.00000 F1: 0.27813 F2: 0.49063 Total predictions: 14000 True positives: 2000 False positives: 10382 False negatives: 0 True negatives: 1618 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'restricted_stock'] Accuracy: 0.25529 Precision: 0.16095 Recall: 1.00000 F1: 0.27728 F2: 0.48957 Total predictions: 14000 True positives: 2000 False positives: 10426 False negatives: 0 True negatives: 1574 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'salary'] Accuracy: 0.24867 Precision: 0.15072 Recall: 1.00000 F1: 0.26195 F2: 0.47015 Total predictions: 15000 True positives: 2000 False positives: 11270 False negatives: 0 True negatives: 1730 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'total_payments'] Accuracy: 0.23940 Precision: 0.14438 Recall: 0.95500 F1: 0.25084 F2: 0.44986 Total predictions: 15000 True positives: 1910 False positives: 11319 False negatives: 90 True negatives: 1681 ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.25800 Precision: 0.16145 Recall: 1.00000 F1: 0.27801 F2: 0.49048 Total predictions: 14000 True positives: 2000 False positives: 10388 False negatives: 0 True negatives: 1612 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.35110 Precision: 0.22551 Recall: 0.92200 F1: 0.36239 F2: 0.56994 Total predictions: 10000 True positives: 1844 False positives: 6333 False negatives: 156 True negatives: 1667 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27508 Precision: 0.17473 Recall: 0.99700 F1: 0.29735 F2: 0.51360 Total predictions: 13000 True positives: 1994 False positives: 9418 False negatives: 6 True negatives: 1582 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28269 Precision: 0.17545 Recall: 0.99000 F1: 0.29808 F2: 0.51335 Total predictions: 13000 True positives: 1980 False positives: 9305 False negatives: 20 True negatives: 1695 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.25814 Precision: 0.15665 Recall: 0.95650 F1: 0.26921 F2: 0.47323 Total predictions: 14000 True positives: 1913 False positives: 10299 False negatives: 87 True negatives: 1701 ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.27292 Precision: 0.17464 Recall: 1.00000 F1: 0.29735 F2: 0.51409 Total predictions: 13000 True positives: 2000 False positives: 9452 False negatives: 0 True negatives: 1548 ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.27269 Precision: 0.16981 Recall: 0.95850 F1: 0.28851 F2: 0.49692 Total predictions: 13000 True positives: 1917 False positives: 9372 False negatives: 83 True negatives: 1628 ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28717 Precision: 0.18166 Recall: 0.93500 F1: 0.30421 F2: 0.51110 Total predictions: 12000 True positives: 1870 False positives: 8424 False negatives: 130 True negatives: 1576 ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25643 Precision: 0.15572 Recall: 0.95100 F1: 0.26762 F2: 0.47047 Total predictions: 14000 True positives: 1902 False positives: 10312 False negatives: 98 True negatives: 1688 ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27823 Precision: 0.17570 Recall: 1.00000 F1: 0.29889 F2: 0.51592 Total predictions: 13000 True positives: 2000 False positives: 9383 False negatives: 0 True negatives: 1617 ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'salary'] Accuracy: 0.27477 Precision: 0.17478 Recall: 0.99800 F1: 0.29747 F2: 0.51390 Total predictions: 13000 True positives: 1996 False positives: 9424 False negatives: 4 True negatives: 1576 ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'total_payments'] Accuracy: 0.24507 Precision: 0.15327 Recall: 0.94700 F1: 0.26384 F2: 0.46520 Total predictions: 14000 True positives: 1894 False positives: 10463 False negatives: 106 True negatives: 1537 ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.25536 Precision: 0.16097 Recall: 1.00000 F1: 0.27730 F2: 0.48960 Total predictions: 14000 True positives: 2000 False positives: 10425 False negatives: 0 True negatives: 1575 ['poi', 'director_fees', 'resto_dirfees', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'salary', 'total_payments'] Accuracy: 0.27669 Precision: 0.16924 Recall: 0.94700 F1: 0.28717 F2: 0.49346 Total predictions: 13000 True positives: 1894 False positives: 9297 False negatives: 106 True negatives: 1703 ['poi', 'director_fees', 'resto_dirfees', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'salary', 'exercised_stock_options'] Accuracy: 0.26064 Precision: 0.16193 Recall: 1.00000 F1: 0.27873 F2: 0.49138 Total predictions: 14000 True positives: 2000 False positives: 10351 False negatives: 0 True negatives: 1649 ['poi', 'director_fees', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'resto_dirfees', 'total_payments', 'exercised_stock_options'] Accuracy: 0.24793 Precision: 0.15349 Recall: 0.94450 F1: 0.26407 F2: 0.46511 Total predictions: 14000 True positives: 1889 False positives: 10418 False negatives: 111 True negatives: 1582 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.24913 Precision: 0.15074 Recall: 0.99950 F1: 0.26197 F2: 0.47011 Total predictions: 15000 True positives: 1999 False positives: 11262 False negatives: 1 True negatives: 1738 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.55543 Precision: 0.21490 Recall: 0.79600 F1: 0.33844 F2: 0.51661 Total predictions: 14000 True positives: 1592 False positives: 5816 False negatives: 408 True negatives: 6184 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.45700 Precision: 0.19223 Recall: 0.95950 F1: 0.32029 F2: 0.53356 Total predictions: 15000 True positives: 1919 False positives: 8064 False negatives: 81 True negatives: 4936 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.75840 Precision: 0.24545 Recall: 0.39150 F1: 0.30173 F2: 0.34987 Total predictions: 15000 True positives: 783 False positives: 2407 False negatives: 1217 True negatives: 10593 ['poi', 'director_fees', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.69979 Precision: 0.23515 Recall: 0.48900 F1: 0.31758 F2: 0.40217 Total predictions: 14000 True positives: 978 False positives: 3181 False negatives: 1022 True negatives: 8819 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.29567 Precision: 0.18397 Recall: 0.93900 F1: 0.30767 F2: 0.51571 Total predictions: 12000 True positives: 1878 False positives: 8330 False negatives: 122 True negatives: 1670 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.27354 Precision: 0.17465 Recall: 0.99900 F1: 0.29732 F2: 0.51389 Total predictions: 13000 True positives: 1998 False positives: 9442 False negatives: 2 True negatives: 1558 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.28400 Precision: 0.17583 Recall: 0.99100 F1: 0.29867 F2: 0.51422 Total predictions: 13000 True positives: 1982 False positives: 9290 False negatives: 18 True negatives: 1710 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.71371 Precision: 0.25667 Recall: 0.52950 F1: 0.34574 F2: 0.43667 Total predictions: 14000 True positives: 1059 False positives: 3067 False negatives: 941 True negatives: 8933 ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.25964 Precision: 0.16175 Recall: 1.00000 F1: 0.27845 F2: 0.49104 Total predictions: 14000 True positives: 2000 False positives: 10365 False negatives: 0 True negatives: 1635 ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.26831 Precision: 0.16637 Recall: 0.93650 F1: 0.28255 F2: 0.48629 Total predictions: 13000 True positives: 1873 False positives: 9385 False negatives: 127 True negatives: 1615 ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.28958 Precision: 0.18223 Recall: 0.93550 F1: 0.30505 F2: 0.51213 Total predictions: 12000 True positives: 1871 False positives: 8396 False negatives: 129 True negatives: 1604 ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.71443 Precision: 0.24645 Recall: 0.48550 F1: 0.32694 F2: 0.40662 Total predictions: 14000 True positives: 971 False positives: 2969 False negatives: 1029 True negatives: 9031 ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.26086 Precision: 0.16197 Recall: 1.00000 F1: 0.27878 F2: 0.49145 Total predictions: 14000 True positives: 2000 False positives: 10348 False negatives: 0 True negatives: 1652 ['poi', 'director_fees', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.27515 Precision: 0.17486 Recall: 0.99800 F1: 0.29758 F2: 0.51404 Total predictions: 13000 True positives: 1996 False positives: 9419 False negatives: 4 True negatives: 1581 ['poi', 'director_fees', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.72343 Precision: 0.20038 Recall: 0.31300 F1: 0.24434 F2: 0.28137 Total predictions: 14000 True positives: 626 False positives: 2498 False negatives: 1374 True negatives: 9502 ['poi', 'director_fees', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.45143 Precision: 0.18935 Recall: 0.86550 F1: 0.31072 F2: 0.50490 Total predictions: 14000 True positives: 1731 False positives: 7411 False negatives: 269 True negatives: 4589 ['poi', 'director_fees', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'bonus', 'salary', 'total_payments'] Accuracy: 0.70077 Precision: 0.22593 Recall: 0.38950 F1: 0.28598 F2: 0.34023 Total predictions: 13000 True positives: 779 False positives: 2669 False negatives: 1221 True negatives: 8331 ['poi', 'director_fees', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.31386 Precision: 0.17096 Recall: 0.98800 F1: 0.29149 F2: 0.50516 Total predictions: 14000 True positives: 1976 False positives: 9582 False negatives: 24 True negatives: 2418 ['poi', 'director_fees', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74500 Precision: 0.26125 Recall: 0.42950 F1: 0.32489 F2: 0.38049 Total predictions: 14000 True positives: 859 False positives: 2429 False negatives: 1141 True negatives: 9571 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.24907 Precision: 0.15078 Recall: 1.00000 F1: 0.26205 F2: 0.47028 Total predictions: 15000 True positives: 2000 False positives: 11264 False negatives: 0 True negatives: 1736 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.25120 Precision: 0.15104 Recall: 0.99900 F1: 0.26241 F2: 0.47060 Total predictions: 15000 True positives: 1998 False positives: 11230 False negatives: 2 True negatives: 1770 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.24533 Precision: 0.15015 Recall: 1.00000 F1: 0.26110 F2: 0.46904 Total predictions: 15000 True positives: 2000 False positives: 11320 False negatives: 0 True negatives: 1680 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.75653 Precision: 0.23927 Recall: 0.37900 F1: 0.29334 F2: 0.33936 Total predictions: 15000 True positives: 758 False positives: 2410 False negatives: 1242 True negatives: 10590 ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.42247 Precision: 0.15573 Recall: 0.75350 F1: 0.25811 F2: 0.42626 Total predictions: 15000 True positives: 1507 False positives: 8170 False negatives: 493 True negatives: 4830 ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.26021 Precision: 0.16141 Recall: 0.99600 F1: 0.27780 F2: 0.48965 Total predictions: 14000 True positives: 1992 False positives: 10349 False negatives: 8 True negatives: 1651 ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.24587 Precision: 0.15024 Recall: 1.00000 F1: 0.26123 F2: 0.46922 Total predictions: 15000 True positives: 2000 False positives: 11312 False negatives: 0 True negatives: 1688 ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.75233 Precision: 0.22700 Recall: 0.35650 F1: 0.27738 F2: 0.31999 Total predictions: 15000 True positives: 713 False positives: 2428 False negatives: 1287 True negatives: 10572 ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.49864 Precision: 0.14530 Recall: 0.51400 F1: 0.22656 F2: 0.34096 Total predictions: 14000 True positives: 1028 False positives: 6047 False negatives: 972 True negatives: 5953 ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.39413 Precision: 0.17378 Recall: 0.94400 F1: 0.29353 F2: 0.50042 Total predictions: 15000 True positives: 1888 False positives: 8976 False negatives: 112 True negatives: 4024 ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.74927 Precision: 0.19459 Recall: 0.28050 F1: 0.22978 F2: 0.25774 Total predictions: 15000 True positives: 561 False positives: 2322 False negatives: 1439 True negatives: 10678 ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.69650 Precision: 0.20416 Recall: 0.38800 F1: 0.26754 F2: 0.32879 Total predictions: 14000 True positives: 776 False positives: 3025 False negatives: 1224 True negatives: 8975 ['poi', 'director_fees', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.75173 Precision: 0.22140 Recall: 0.34250 F1: 0.26894 F2: 0.30873 Total predictions: 15000 True positives: 685 False positives: 2409 False negatives: 1315 True negatives: 10591 ['poi', 'director_fees', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.65753 Precision: 0.21045 Recall: 0.57000 F1: 0.30740 F2: 0.42483 Total predictions: 15000 True positives: 1140 False positives: 4277 False negatives: 860 True negatives: 8723 ['poi', 'director_fees', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.75900 Precision: 0.21396 Recall: 0.30200 F1: 0.25047 F2: 0.27904 Total predictions: 15000 True positives: 604 False positives: 2219 False negatives: 1396 True negatives: 10781 ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.26700 Precision: 0.16647 Recall: 0.93950 F1: 0.28283 F2: 0.48712 Total predictions: 13000 True positives: 1879 False positives: 9408 False negatives: 121 True negatives: 1592 ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.27746 Precision: 0.16689 Recall: 0.92600 F1: 0.28281 F2: 0.48489 Total predictions: 13000 True positives: 1852 False positives: 9245 False negatives: 148 True negatives: 1755 ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.25971 Precision: 0.15461 Recall: 0.93600 F1: 0.26538 F2: 0.46549 Total predictions: 14000 True positives: 1872 False positives: 10236 False negatives: 128 True negatives: 1764 ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.27777 Precision: 0.17561 Recall: 1.00000 F1: 0.29875 F2: 0.51576 Total predictions: 13000 True positives: 2000 False positives: 9389 False negatives: 0 True negatives: 1611 ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.25679 Precision: 0.16057 Recall: 0.99400 F1: 0.27648 F2: 0.48771 Total predictions: 14000 True positives: 1988 False positives: 10393 False negatives: 12 True negatives: 1607 ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.70336 Precision: 0.21812 Recall: 0.41650 F1: 0.28630 F2: 0.35240 Total predictions: 14000 True positives: 833 False positives: 2986 False negatives: 1167 True negatives: 9014 ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.24960 Precision: 0.15082 Recall: 0.99950 F1: 0.26210 F2: 0.47026 Total predictions: 15000 True positives: 1999 False positives: 11255 False negatives: 1 True negatives: 1745 ['poi', 'director_fees', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.44314 Precision: 0.17511 Recall: 0.78100 F1: 0.28608 F2: 0.46158 Total predictions: 14000 True positives: 1562 False positives: 7358 False negatives: 438 True negatives: 4642 ['poi', 'director_fees', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.25836 Precision: 0.16151 Recall: 1.00000 F1: 0.27811 F2: 0.49060 Total predictions: 14000 True positives: 2000 False positives: 10383 False negatives: 0 True negatives: 1617 ['poi', 'director_fees', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74060 Precision: 0.22634 Recall: 0.39100 F1: 0.28671 F2: 0.34134 Total predictions: 15000 True positives: 782 False positives: 2673 False negatives: 1218 True negatives: 10327 ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.25579 Precision: 0.15323 Recall: 0.93000 F1: 0.26310 F2: 0.46179 Total predictions: 14000 True positives: 1860 False positives: 10279 False negatives: 140 True negatives: 1721 ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.71021 Precision: 0.21182 Recall: 0.37800 F1: 0.27150 F2: 0.32674 Total predictions: 14000 True positives: 756 False positives: 2813 False negatives: 1244 True negatives: 9187 ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.25786 Precision: 0.16010 Recall: 0.98800 F1: 0.27555 F2: 0.48569 Total predictions: 14000 True positives: 1976 False positives: 10366 False negatives: 24 True negatives: 1634 ['poi', 'director_fees', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.49200 Precision: 0.18233 Recall: 0.73350 F1: 0.29206 F2: 0.45712 Total predictions: 14000 True positives: 1467 False positives: 6579 False negatives: 533 True negatives: 5421 ['poi', 'director_fees', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.25907 Precision: 0.16164 Recall: 1.00000 F1: 0.27830 F2: 0.49085 Total predictions: 14000 True positives: 2000 False positives: 10373 False negatives: 0 True negatives: 1627 ['poi', 'director_fees', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74907 Precision: 0.21964 Recall: 0.34550 F1: 0.26856 F2: 0.30998 Total predictions: 15000 True positives: 691 False positives: 2455 False negatives: 1309 True negatives: 10545 ['poi', 'director_fees', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.72921 Precision: 0.24036 Recall: 0.41450 F1: 0.30428 F2: 0.36204 Total predictions: 14000 True positives: 829 False positives: 2620 False negatives: 1171 True negatives: 9380 ['poi', 'director_fees', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.31487 Precision: 0.16019 Recall: 0.97550 F1: 0.27520 F2: 0.48342 Total predictions: 15000 True positives: 1951 False positives: 10228 False negatives: 49 True negatives: 2772 ['poi', 'director_fees', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74847 Precision: 0.19651 Recall: 0.28700 F1: 0.23329 F2: 0.26280 Total predictions: 15000 True positives: 574 False positives: 2347 False negatives: 1426 True negatives: 10653 ['poi', 'director_fees', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'director_fees', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.74136 Precision: 0.22590 Recall: 0.33400 F1: 0.26952 F2: 0.30483 Total predictions: 14000 True positives: 668 False positives: 2289 False negatives: 1332 True negatives: 9711 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'] Accuracy: 0.21557 Precision: 0.14920 Recall: 0.95500 F1: 0.25807 F2: 0.45909 Total predictions: 14000 True positives: 1910 False positives: 10892 False negatives: 90 True negatives: 1108 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'from_this_person_to_poi'] Accuracy: 0.21636 Precision: 0.14850 Recall: 0.94750 F1: 0.25676 F2: 0.45638 Total predictions: 14000 True positives: 1895 False positives: 10866 False negatives: 105 True negatives: 1134 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'restricted_stock'] Accuracy: 0.23323 Precision: 0.16018 Recall: 0.93900 F1: 0.27368 F2: 0.47607 Total predictions: 13000 True positives: 1878 False positives: 9846 False negatives: 122 True negatives: 1154 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'salary'] Accuracy: 0.22379 Precision: 0.15099 Recall: 0.95900 F1: 0.26090 F2: 0.46322 Total predictions: 14000 True positives: 1918 False positives: 10785 False negatives: 82 True negatives: 1215 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'total_payments'] Accuracy: 0.22747 Precision: 0.13455 Recall: 0.88250 F1: 0.23350 F2: 0.41789 Total predictions: 15000 True positives: 1765 False positives: 11353 False negatives: 235 True negatives: 1647 ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_stock_value', 'exercised_stock_options'] Accuracy: 0.24177 Precision: 0.16137 Recall: 0.93600 F1: 0.27527 F2: 0.47753 Total predictions: 13000 True positives: 1872 False positives: 9729 False negatives: 128 True negatives: 1271 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.20927 Precision: 0.17903 Recall: 0.93400 F1: 0.30047 F2: 0.50667 Total predictions: 11000 True positives: 1868 False positives: 8566 False negatives: 132 True negatives: 434 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.19883 Precision: 0.17187 Recall: 0.99700 F1: 0.29319 F2: 0.50862 Total predictions: 12000 True positives: 1994 False positives: 9608 False negatives: 6 True negatives: 392 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'salary'] Accuracy: 0.21591 Precision: 0.18706 Recall: 0.99000 F1: 0.31466 F2: 0.53269 Total predictions: 11000 True positives: 1980 False positives: 8605 False negatives: 20 True negatives: 395 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.21529 Precision: 0.14027 Recall: 0.87600 F1: 0.24182 F2: 0.42753 Total predictions: 14000 True positives: 1752 False positives: 10738 False negatives: 248 True negatives: 1262 ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.21785 Precision: 0.16170 Recall: 0.97600 F1: 0.27743 F2: 0.48625 Total predictions: 13000 True positives: 1952 False positives: 10120 False negatives: 48 True negatives: 880 ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.19275 Precision: 0.16476 Recall: 0.94450 F1: 0.28058 F2: 0.48523 Total predictions: 12000 True positives: 1889 False positives: 9576 False negatives: 111 True negatives: 424 ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20664 Precision: 0.17767 Recall: 0.92700 F1: 0.29819 F2: 0.50285 Total predictions: 11000 True positives: 1854 False positives: 8581 False negatives: 146 True negatives: 419 ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22838 Precision: 0.15164 Recall: 0.87400 F1: 0.25845 F2: 0.44759 Total predictions: 13000 True positives: 1748 False positives: 9779 False negatives: 252 True negatives: 1221 ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.22315 Precision: 0.16172 Recall: 0.96800 F1: 0.27715 F2: 0.48470 Total predictions: 13000 True positives: 1936 False positives: 10035 False negatives: 64 True negatives: 965 ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'salary'] Accuracy: 0.19908 Precision: 0.17168 Recall: 0.99500 F1: 0.29284 F2: 0.50789 Total predictions: 12000 True positives: 1990 False positives: 9601 False negatives: 10 True negatives: 399 ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'total_payments'] Accuracy: 0.20900 Precision: 0.13941 Recall: 0.87700 F1: 0.24057 F2: 0.42610 Total predictions: 14000 True positives: 1754 False positives: 10828 False negatives: 246 True negatives: 1172 ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.23208 Precision: 0.16010 Recall: 0.94000 F1: 0.27359 F2: 0.47612 Total predictions: 13000 True positives: 1880 False positives: 9863 False negatives: 120 True negatives: 1137 ['poi', 'resto_dirfees', 'bonus', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'salary', 'total_payments'] Accuracy: 0.22346 Precision: 0.15020 Recall: 0.86900 F1: 0.25613 F2: 0.44402 Total predictions: 13000 True positives: 1738 False positives: 9833 False negatives: 262 True negatives: 1167 ['poi', 'resto_dirfees', 'bonus', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'salary', 'exercised_stock_options'] Accuracy: 0.23392 Precision: 0.16146 Recall: 0.94900 F1: 0.27597 F2: 0.48038 Total predictions: 13000 True positives: 1898 False positives: 9857 False negatives: 102 True negatives: 1143 ['poi', 'resto_dirfees', 'bonus', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'bonus', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22650 Precision: 0.14368 Recall: 0.89000 F1: 0.24741 F2: 0.43651 Total predictions: 14000 True positives: 1780 False positives: 10609 False negatives: 220 True negatives: 1391 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.17079 Precision: 0.14675 Recall: 0.99800 F1: 0.25588 F2: 0.46202 Total predictions: 14000 True positives: 1996 False positives: 11605 False negatives: 4 True negatives: 395 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.21664 Precision: 0.14838 Recall: 0.94600 F1: 0.25652 F2: 0.45588 Total predictions: 14000 True positives: 1892 False positives: 10859 False negatives: 108 True negatives: 1141 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.20150 Precision: 0.14947 Recall: 0.97850 F1: 0.25933 F2: 0.46390 Total predictions: 14000 True positives: 1957 False positives: 11136 False negatives: 43 True negatives: 864 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.22680 Precision: 0.13294 Recall: 0.86900 F1: 0.23060 F2: 0.41236 Total predictions: 15000 True positives: 1738 False positives: 11336 False negatives: 262 True negatives: 1664 ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.22643 Precision: 0.14854 Recall: 0.93300 F1: 0.25628 F2: 0.45375 Total predictions: 14000 True positives: 1866 False positives: 10696 False negatives: 134 True negatives: 1304 ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.23254 Precision: 0.15919 Recall: 0.93150 F1: 0.27191 F2: 0.47277 Total predictions: 13000 True positives: 1863 False positives: 9840 False negatives: 137 True negatives: 1160 ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20507 Precision: 0.14897 Recall: 0.96850 F1: 0.25822 F2: 0.46112 Total predictions: 14000 True positives: 1937 False positives: 11066 False negatives: 63 True negatives: 934 ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.22687 Precision: 0.13295 Recall: 0.86900 F1: 0.23061 F2: 0.41238 Total predictions: 15000 True positives: 1738 False positives: 11335 False negatives: 262 True negatives: 1665 ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.23977 Precision: 0.15978 Recall: 0.92550 F1: 0.27251 F2: 0.47256 Total predictions: 13000 True positives: 1851 False positives: 9734 False negatives: 149 True negatives: 1266 ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.22057 Precision: 0.14935 Recall: 0.94900 F1: 0.25809 F2: 0.45828 Total predictions: 14000 True positives: 1898 False positives: 10810 False negatives: 102 True negatives: 1190 ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.22693 Precision: 0.13296 Recall: 0.86900 F1: 0.23063 F2: 0.41240 Total predictions: 15000 True positives: 1738 False positives: 11334 False negatives: 262 True negatives: 1666 ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.23746 Precision: 0.16007 Recall: 0.93150 F1: 0.27319 F2: 0.47431 Total predictions: 13000 True positives: 1863 False positives: 9776 False negatives: 137 True negatives: 1224 ['poi', 'resto_dirfees', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.22607 Precision: 0.13282 Recall: 0.86900 F1: 0.23043 F2: 0.41214 Total predictions: 15000 True positives: 1738 False positives: 11347 False negatives: 262 True negatives: 1653 ['poi', 'resto_dirfees', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.22807 Precision: 0.14887 Recall: 0.93350 F1: 0.25679 F2: 0.45446 Total predictions: 14000 True positives: 1867 False positives: 10674 False negatives: 133 True negatives: 1326 ['poi', 'resto_dirfees', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22833 Precision: 0.13328 Recall: 0.87000 F1: 0.23115 F2: 0.41320 Total predictions: 15000 True positives: 1740 False positives: 11315 False negatives: 260 True negatives: 1685 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.18375 Precision: 0.16094 Recall: 0.92500 F1: 0.27418 F2: 0.47448 Total predictions: 12000 True positives: 1850 False positives: 9645 False negatives: 150 True negatives: 355 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.20618 Precision: 0.17833 Recall: 0.93300 F1: 0.29942 F2: 0.50531 Total predictions: 11000 True positives: 1866 False positives: 8598 False negatives: 134 True negatives: 402 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.21364 Precision: 0.14122 Recall: 0.88650 F1: 0.24363 F2: 0.43128 Total predictions: 14000 True positives: 1773 False positives: 10782 False negatives: 227 True negatives: 1218 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.19933 Precision: 0.17139 Recall: 0.99200 F1: 0.29228 F2: 0.50674 Total predictions: 12000 True positives: 1984 False positives: 9592 False negatives: 16 True negatives: 408 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.19783 Precision: 0.17101 Recall: 0.99100 F1: 0.29169 F2: 0.50587 Total predictions: 12000 True positives: 1982 False positives: 9608 False negatives: 18 True negatives: 392 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.22107 Precision: 0.13944 Recall: 0.86100 F1: 0.24002 F2: 0.42312 Total predictions: 14000 True positives: 1722 False positives: 10627 False negatives: 278 True negatives: 1373 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.21129 Precision: 0.14877 Recall: 0.95750 F1: 0.25753 F2: 0.45875 Total predictions: 14000 True positives: 1915 False positives: 10957 False negatives: 85 True negatives: 1043 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.21493 Precision: 0.13993 Recall: 0.87350 F1: 0.24122 F2: 0.42641 Total predictions: 14000 True positives: 1747 False positives: 10738 False negatives: 253 True negatives: 1262 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.20231 Precision: 0.16025 Recall: 0.98700 F1: 0.27574 F2: 0.48578 Total predictions: 13000 True positives: 1974 False positives: 10344 False negatives: 26 True negatives: 656 ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.21507 Precision: 0.14087 Recall: 0.88150 F1: 0.24292 F2: 0.42969 Total predictions: 14000 True positives: 1763 False positives: 10752 False negatives: 237 True negatives: 1248 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.19017 Precision: 0.16326 Recall: 0.93550 F1: 0.27801 F2: 0.48073 Total predictions: 12000 True positives: 1871 False positives: 9589 False negatives: 129 True negatives: 411 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.20829 Precision: 0.13745 Recall: 0.86100 F1: 0.23706 F2: 0.41943 Total predictions: 14000 True positives: 1722 False positives: 10806 False negatives: 278 True negatives: 1194 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.23000 Precision: 0.15915 Recall: 0.93500 F1: 0.27200 F2: 0.47342 Total predictions: 13000 True positives: 1870 False positives: 9880 False negatives: 130 True negatives: 1120 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.22808 Precision: 0.15050 Recall: 0.86500 F1: 0.25639 F2: 0.44370 Total predictions: 13000 True positives: 1730 False positives: 9765 False negatives: 270 True negatives: 1235 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.20785 Precision: 0.15908 Recall: 0.96800 F1: 0.27325 F2: 0.47992 Total predictions: 13000 True positives: 1936 False positives: 10234 False negatives: 64 True negatives: 766 ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.21627 Precision: 0.13190 Recall: 0.87400 F1: 0.22922 F2: 0.41126 Total predictions: 15000 True positives: 1748 False positives: 11504 False negatives: 252 True negatives: 1496 ['poi', 'resto_dirfees', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.20793 Precision: 0.13792 Recall: 0.86550 F1: 0.23792 F2: 0.42115 Total predictions: 14000 True positives: 1731 False positives: 10820 False negatives: 269 True negatives: 1180 ['poi', 'resto_dirfees', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.21971 Precision: 0.14982 Recall: 0.95450 F1: 0.25899 F2: 0.46018 Total predictions: 14000 True positives: 1909 False positives: 10833 False negatives: 91 True negatives: 1167 ['poi', 'resto_dirfees', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22533 Precision: 0.13271 Recall: 0.86900 F1: 0.23026 F2: 0.41193 Total predictions: 15000 True positives: 1738 False positives: 11358 False negatives: 262 True negatives: 1642 ['poi', 'resto_dirfees', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'resto_dirfees', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.22507 Precision: 0.14223 Recall: 0.87950 F1: 0.24487 F2: 0.43183 Total predictions: 14000 True positives: 1759 False positives: 10608 False negatives: 241 True negatives: 1392 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi'] Accuracy: 0.84738 Precision: 0.50721 Recall: 0.28150 F1: 0.36206 F2: 0.30900 Total predictions: 13000 True positives: 563 False positives: 547 False negatives: 1437 True negatives: 10453 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock'] Accuracy: 0.85607 Precision: 0.49363 Recall: 0.29050 F1: 0.36575 F2: 0.31655 Total predictions: 14000 True positives: 581 False positives: 596 False negatives: 1419 True negatives: 11404 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'salary'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'salary'] Accuracy: 0.83915 Precision: 0.46230 Recall: 0.27900 F1: 0.34799 F2: 0.30303 Total predictions: 13000 True positives: 558 False positives: 649 False negatives: 1442 True negatives: 10351 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'total_payments'] Accuracy: 0.84893 Precision: 0.38898 Recall: 0.23300 F1: 0.29143 F2: 0.25332 Total predictions: 15000 True positives: 466 False positives: 732 False negatives: 1534 True negatives: 12268 ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options'] Accuracy: 0.83962 Precision: 0.46918 Recall: 0.32350 F1: 0.38295 F2: 0.34492 Total predictions: 13000 True positives: 647 False positives: 732 False negatives: 1353 True negatives: 10268 ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.85671 Precision: 0.49740 Recall: 0.28750 F1: 0.36439 F2: 0.31400 Total predictions: 14000 True positives: 575 False positives: 581 False negatives: 1425 True negatives: 11419 ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'salary'] Accuracy: 0.84821 Precision: 0.44947 Recall: 0.27800 F1: 0.34353 F2: 0.30096 Total predictions: 14000 True positives: 556 False positives: 681 False negatives: 1444 True negatives: 11319 ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.84933 Precision: 0.39020 Recall: 0.23100 F1: 0.29020 F2: 0.25152 Total predictions: 15000 True positives: 462 False positives: 722 False negatives: 1538 True negatives: 12278 ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84108 Precision: 0.47570 Recall: 0.32300 F1: 0.38475 F2: 0.34516 Total predictions: 13000 True positives: 646 False positives: 712 False negatives: 1354 True negatives: 10288 ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'salary'] Accuracy: 0.84786 Precision: 0.44858 Recall: 0.28350 F1: 0.34743 F2: 0.30602 Total predictions: 14000 True positives: 567 False positives: 697 False negatives: 1433 True negatives: 11303 ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'total_payments'] Accuracy: 0.85627 Precision: 0.42642 Recall: 0.22600 F1: 0.29542 F2: 0.24945 Total predictions: 15000 True positives: 452 False positives: 608 False negatives: 1548 True negatives: 12392 ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84531 Precision: 0.49578 Recall: 0.32300 F1: 0.39116 F2: 0.34720 Total predictions: 13000 True positives: 646 False positives: 657 False negatives: 1354 True negatives: 10343 ['poi', 'bonus', 'total_stock_value', 'salary', 'total_payments'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'salary', 'total_payments'] Accuracy: 0.84947 Precision: 0.39214 Recall: 0.23450 F1: 0.29349 F2: 0.25500 Total predictions: 15000 True positives: 469 False positives: 727 False negatives: 1531 True negatives: 12273 ['poi', 'bonus', 'total_stock_value', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'salary', 'exercised_stock_options'] Accuracy: 0.84677 Precision: 0.50312 Recall: 0.32300 F1: 0.39342 F2: 0.34791 Total predictions: 13000 True positives: 646 False positives: 638 False negatives: 1354 True negatives: 10362 ['poi', 'bonus', 'total_stock_value', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'total_stock_value', 'total_payments', 'exercised_stock_options'] Accuracy: 0.86053 Precision: 0.45972 Recall: 0.26250 F1: 0.33418 F2: 0.28714 Total predictions: 15000 True positives: 525 False positives: 617 False negatives: 1475 True negatives: 12383 ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.80200 Precision: 0.32625 Recall: 0.17650 F1: 0.22907 F2: 0.19434 Total predictions: 12000 True positives: 353 False positives: 729 False negatives: 1647 True negatives: 9271 ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.78600 Precision: 0.32229 Recall: 0.16050 F1: 0.21429 F2: 0.17841 Total predictions: 11000 True positives: 321 False positives: 675 False negatives: 1679 True negatives: 8325 ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.83800 Precision: 0.31073 Recall: 0.11000 F1: 0.16248 F2: 0.12632 Total predictions: 14000 True positives: 220 False positives: 488 False negatives: 1780 True negatives: 11512 ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.84523 Precision: 0.49476 Recall: 0.28350 F1: 0.36046 F2: 0.30997 Total predictions: 13000 True positives: 567 False positives: 579 False negatives: 1433 True negatives: 10421 ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.81108 Precision: 0.36364 Recall: 0.17800 F1: 0.23901 F2: 0.19824 Total predictions: 12000 True positives: 356 False positives: 623 False negatives: 1644 True negatives: 9377 ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.82471 Precision: 0.25591 Recall: 0.11900 F1: 0.16246 F2: 0.13326 Total predictions: 14000 True positives: 238 False positives: 692 False negatives: 1762 True negatives: 11308 ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85279 Precision: 0.47530 Recall: 0.29350 F1: 0.36291 F2: 0.31781 Total predictions: 14000 True positives: 587 False positives: 648 False negatives: 1413 True negatives: 11352 ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.82777 Precision: 0.33517 Recall: 0.12150 F1: 0.17835 F2: 0.13926 Total predictions: 13000 True positives: 243 False positives: 482 False negatives: 1757 True negatives: 10518 ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.84108 Precision: 0.47321 Recall: 0.29150 F1: 0.36077 F2: 0.31575 Total predictions: 13000 True positives: 583 False positives: 649 False negatives: 1417 True negatives: 10351 ['poi', 'bonus', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84814 Precision: 0.44079 Recall: 0.23450 F1: 0.30614 F2: 0.25872 Total predictions: 14000 True positives: 469 False positives: 595 False negatives: 1531 True negatives: 11405 ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.79550 Precision: 0.29982 Recall: 0.17000 F1: 0.21698 F2: 0.18612 Total predictions: 12000 True positives: 340 False positives: 794 False negatives: 1660 True negatives: 9206 ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82650 Precision: 0.27157 Recall: 0.12750 F1: 0.17353 F2: 0.14263 Total predictions: 14000 True positives: 255 False positives: 684 False negatives: 1745 True negatives: 11316 ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85443 Precision: 0.48403 Recall: 0.28800 F1: 0.36113 F2: 0.31338 Total predictions: 14000 True positives: 576 False positives: 614 False negatives: 1424 True negatives: 11386 ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83038 Precision: 0.35784 Recall: 0.12900 F1: 0.18964 F2: 0.14792 Total predictions: 13000 True positives: 258 False positives: 463 False negatives: 1742 True negatives: 10537 ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.84338 Precision: 0.48500 Recall: 0.29100 F1: 0.36375 F2: 0.31630 Total predictions: 13000 True positives: 582 False positives: 618 False negatives: 1418 True negatives: 10382 ['poi', 'bonus', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85050 Precision: 0.45533 Recall: 0.23700 F1: 0.31174 F2: 0.26214 Total predictions: 14000 True positives: 474 False positives: 567 False negatives: 1526 True negatives: 11433 ['poi', 'bonus', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82107 Precision: 0.25698 Recall: 0.13350 F1: 0.17572 F2: 0.14769 Total predictions: 14000 True positives: 267 False positives: 772 False negatives: 1733 True negatives: 11228 ['poi', 'bonus', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.84350 Precision: 0.42792 Recall: 0.28350 F1: 0.34105 F2: 0.30402 Total predictions: 14000 True positives: 567 False positives: 758 False negatives: 1433 True negatives: 11242 ['poi', 'bonus', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85527 Precision: 0.42002 Recall: 0.22450 F1: 0.29260 F2: 0.24755 Total predictions: 15000 True positives: 449 False positives: 620 False negatives: 1551 True negatives: 12380 ['poi', 'bonus', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'bonus', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84843 Precision: 0.44267 Recall: 0.23550 F1: 0.30744 F2: 0.25982 Total predictions: 14000 True positives: 471 False positives: 593 False negatives: 1529 True negatives: 11407 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock'] Accuracy: 0.86714 Precision: 0.57246 Recall: 0.27650 F1: 0.37289 F2: 0.30839 Total predictions: 14000 True positives: 553 False positives: 413 False negatives: 1447 True negatives: 11587 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary'] Accuracy: 0.86379 Precision: 0.55664 Recall: 0.22850 F1: 0.32400 F2: 0.25904 Total predictions: 14000 True positives: 457 False positives: 364 False negatives: 1543 True negatives: 11636 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments'] Accuracy: 0.85267 Precision: 0.38806 Recall: 0.18200 F1: 0.24779 F2: 0.20362 Total predictions: 15000 True positives: 364 False positives: 574 False negatives: 1636 True negatives: 12426 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options'] Accuracy: 0.83962 Precision: 0.46314 Recall: 0.26700 F1: 0.33873 F2: 0.29171 Total predictions: 13000 True positives: 534 False positives: 619 False negatives: 1466 True negatives: 10381 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'salary'] Accuracy: 0.86050 Precision: 0.52580 Recall: 0.23950 F1: 0.32910 F2: 0.26877 Total predictions: 14000 True positives: 479 False positives: 432 False negatives: 1521 True negatives: 11568 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'total_payments'] Accuracy: 0.85400 Precision: 0.39514 Recall: 0.17900 F1: 0.24639 F2: 0.20099 Total predictions: 15000 True positives: 358 False positives: 548 False negatives: 1642 True negatives: 12452 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.85550 Precision: 0.48981 Recall: 0.27650 F1: 0.35347 F2: 0.30288 Total predictions: 14000 True positives: 553 False positives: 576 False negatives: 1447 True negatives: 11424 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'total_payments'] Accuracy: 0.84927 Precision: 0.36392 Recall: 0.17450 F1: 0.23589 F2: 0.19478 Total predictions: 15000 True positives: 349 False positives: 610 False negatives: 1651 True negatives: 12390 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'exercised_stock_options'] Accuracy: 0.85436 Precision: 0.48297 Recall: 0.27650 F1: 0.35167 F2: 0.30235 Total predictions: 14000 True positives: 553 False positives: 592 False negatives: 1447 True negatives: 11408 ['poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84827 Precision: 0.38500 Recall: 0.23100 F1: 0.28875 F2: 0.25109 Total predictions: 15000 True positives: 462 False positives: 738 False negatives: 1538 True negatives: 12262 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.86071 Precision: 0.52854 Recall: 0.23150 F1: 0.32197 F2: 0.26082 Total predictions: 14000 True positives: 463 False positives: 413 False negatives: 1537 True negatives: 11587 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.85407 Precision: 0.39558 Recall: 0.17900 F1: 0.24647 F2: 0.20101 Total predictions: 15000 True positives: 358 False positives: 547 False negatives: 1642 True negatives: 12453 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.84362 Precision: 0.48501 Recall: 0.26700 F1: 0.34441 F2: 0.29337 Total predictions: 13000 True positives: 534 False positives: 567 False negatives: 1466 True negatives: 10433 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.84987 Precision: 0.36681 Recall: 0.17350 F1: 0.23557 F2: 0.19394 Total predictions: 15000 True positives: 347 False positives: 599 False negatives: 1653 True negatives: 12401 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.85650 Precision: 0.49596 Recall: 0.27650 F1: 0.35506 F2: 0.30335 Total predictions: 14000 True positives: 553 False positives: 562 False negatives: 1447 True negatives: 11438 ['poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84900 Precision: 0.38856 Recall: 0.23100 F1: 0.28975 F2: 0.25139 Total predictions: 15000 True positives: 462 False positives: 727 False negatives: 1538 True negatives: 12273 ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.85340 Precision: 0.39006 Recall: 0.17650 F1: 0.24303 F2: 0.19820 Total predictions: 15000 True positives: 353 False positives: 552 False negatives: 1647 True negatives: 12448 ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.85650 Precision: 0.49596 Recall: 0.27650 F1: 0.35506 F2: 0.30335 Total predictions: 14000 True positives: 553 False positives: 562 False negatives: 1447 True negatives: 11438 ['poi', 'total_stock_value', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85480 Precision: 0.41442 Recall: 0.21550 F1: 0.28355 F2: 0.23838 Total predictions: 15000 True positives: 431 False positives: 609 False negatives: 1569 True negatives: 12391 ['poi', 'total_stock_value', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'total_stock_value', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84700 Precision: 0.37317 Recall: 0.21700 F1: 0.27442 F2: 0.23682 Total predictions: 15000 True positives: 434 False positives: 729 False negatives: 1566 True negatives: 12271 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary'] Accuracy: 0.80542 Precision: 0.29141 Recall: 0.11700 F1: 0.16696 F2: 0.13291 Total predictions: 12000 True positives: 234 False positives: 569 False negatives: 1766 True negatives: 9431 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'total_payments'] Accuracy: 0.82436 Precision: 0.16594 Recall: 0.05700 F1: 0.08485 F2: 0.06562 Total predictions: 14000 True positives: 114 False positives: 573 False negatives: 1886 True negatives: 11427 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options'] Accuracy: 0.86329 Precision: 0.54216 Recall: 0.27650 F1: 0.36623 F2: 0.30654 Total predictions: 14000 True positives: 553 False positives: 467 False negatives: 1447 True negatives: 11533 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'total_payments'] Accuracy: 0.83936 Precision: 0.23899 Recall: 0.05700 F1: 0.09205 F2: 0.06724 Total predictions: 14000 True positives: 114 False positives: 363 False negatives: 1886 True negatives: 11637 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'exercised_stock_options'] Accuracy: 0.85546 Precision: 0.57351 Recall: 0.23600 F1: 0.33440 F2: 0.26748 Total predictions: 13000 True positives: 472 False positives: 351 False negatives: 1528 True negatives: 10649 ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84914 Precision: 0.43349 Recall: 0.18250 F1: 0.25686 F2: 0.20640 Total predictions: 14000 True positives: 365 False positives: 477 False negatives: 1635 True negatives: 11523 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82471 Precision: 0.16910 Recall: 0.05800 F1: 0.08637 F2: 0.06677 Total predictions: 14000 True positives: 116 False positives: 570 False negatives: 1884 True negatives: 11430 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.85786 Precision: 0.50519 Recall: 0.24350 F1: 0.32861 F2: 0.27164 Total predictions: 14000 True positives: 487 False positives: 477 False negatives: 1513 True negatives: 11523 ['poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85253 Precision: 0.38578 Recall: 0.17900 F1: 0.24454 F2: 0.20049 Total predictions: 15000 True positives: 358 False positives: 570 False negatives: 1642 True negatives: 12430 ['poi', 'from_poi_to_this_person', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_poi_to_this_person', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84321 Precision: 0.39203 Recall: 0.17700 F1: 0.24389 F2: 0.19881 Total predictions: 14000 True positives: 354 False positives: 549 False negatives: 1646 True negatives: 11451 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments'] Accuracy: 0.82714 Precision: 0.19477 Recall: 0.06700 F1: 0.09970 F2: 0.07712 Total predictions: 14000 True positives: 134 False positives: 554 False negatives: 1866 True negatives: 11446 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'exercised_stock_options'] Accuracy: 0.85771 Precision: 0.50426 Recall: 0.23650 F1: 0.32199 F2: 0.26460 Total predictions: 14000 True positives: 473 False positives: 465 False negatives: 1527 True negatives: 11535 ['poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments', 'exercised_stock_options'] Accuracy: 0.85273 Precision: 0.38703 Recall: 0.17900 F1: 0.24479 F2: 0.20056 Total predictions: 15000 True positives: 358 False positives: 567 False negatives: 1642 True negatives: 12433 ['poi', 'from_this_person_to_poi', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'from_this_person_to_poi', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84464 Precision: 0.40113 Recall: 0.17750 F1: 0.24610 F2: 0.19977 Total predictions: 14000 True positives: 355 False positives: 530 False negatives: 1645 True negatives: 11470 ['poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'] GaussianNB() ['poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'] Accuracy: 0.84733 Precision: 0.35383 Recall: 0.17550 F1: 0.23463 F2: 0.19517 Total predictions: 15000 True positives: 351 False positives: 641 False negatives: 1649 True negatives: 12359
# The print out of the List "All" should print out a list for each feature combination tried -- Each such list
# contains the accuracy, precision, and recall for a set of features and contains a list, which shows
# the features themselves
print All
[['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']], ['0.886333333333', '0.0', '0.0', ['poi', 'to_messages']], ['0.788', '0.574918566775', '0.1765', ['poi', 'salary_bonus']], ['0.688', '0.0', '0.0', ['poi', 'deferral_payments']], ['0.7997', '0.0', '0.0', ['poi', 'expenses']], ['0.818', '0.595338983051', '0.281', ['poi', 'deferred_income']], ['0.841142857143', '0.185393258427', '0.033', ['poi', 'long_term_incentive']], ['0.838444444444', '0.0', '0.0', ['poi', 'shared_receipt_with_poi']], ['0.844777777778', '0.0', '0.0', ['poi', 'from_messages']], ['0.7722', '0.00709219858156', '0.001', ['poi', 'other']], ['0.788666666667', '0.579804560261', '0.178', ['poi', 'bonus']], ['0.861307692308', '0.614668218859', '0.264', ['poi', 'total_stock_value']], ['0.7365', '0.0263157894737', '0.0015', ['poi', 'from_poi_to_this_person']], ['0.792285714286', '0.0', '0.0', ['poi', 'from_this_person_to_poi']], ['0.81', '0.372159090909', '0.0655', ['poi', 'restricted_stock']], ['0.7966', '0.463983050847', '0.1095', ['poi', 'salary']], ['0.822615384615', '0.0578034682081', '0.01', ['poi', 'total_payments']], ['0.904090909091', '0.460545193687', '0.321', ['poi', 'exercised_stock_options']], ['0.816818181818', '0.487725040917', '0.149', ['poi', 'to_messages', 'salary_bonus']], ['0.762272727273', '0.123623011016', '0.0505', ['poi', 'to_messages', 'deferral_payments']], ['0.829083333333', '0.0', '0.0', ['poi', 'to_messages', 'expenses']], ['0.821818181818', '0.535587188612', '0.1505', ['poi', 'to_messages', 'deferred_income']], ['0.804818181818', '0.33180778032', '0.0725', ['poi', 'to_messages', 'long_term_incentive']], ['0.2783', '0.113994784552', '0.918', ['poi', 'to_messages', 'restricted_stock_deferred']], ['0.871444444444', '0.0', '0.0', ['poi', 'to_messages', 'shared_receipt_with_poi']], ['0.831333333333', '0.0', '0.0', ['poi', 'to_messages', 'from_messages']], ['0.804583333333', '0.0113314447592', '0.002', ['poi', 'to_messages', 'other']], ['0.2664', '0.113375640713', '0.929', ['poi', 'to_messages', 'director_fees']], ['0.151333333333', '0.108238904627', '0.917', ['poi', 'to_messages', 'resto_dirfees']], ['0.819090909091', '0.508503401361', '0.1495', ['poi', 'to_messages', 'bonus']], ['0.867357142857', '0.575342465753', '0.273', ['poi', 'to_messages', 'total_stock_value']], ['0.868666666667', '0.0210526315789', '0.004', ['poi', 'to_messages', 'from_poi_to_this_person']], ['0.849666666667', '0.0', '0.0', ['poi', 'to_messages', 'from_this_person_to_poi']], ['0.8225', '0.334183673469', '0.0655', ['poi', 'to_messages', 'restricted_stock']], ['0.83175', '0.479302832244', '0.11', ['poi', 'to_messages', 'salary']], ['0.832928571429', '0.104895104895', '0.0225', ['poi', 'to_messages', 'total_payments']], ['0.842', '0.555555555556', '0.26', ['poi', 'to_messages', 'exercised_stock_options']], ['0.7625', '0.348668280872', '0.216', ['poi', 'salary_bonus', 'deferral_payments']], ['0.822090909091', '0.528552456839', '0.199', ['poi', 'salary_bonus', 'expenses']], ['0.8345', '0.677651905252', '0.329', ['poi', 'salary_bonus', 'deferred_income']], ['0.789888888889', '0.569961489089', '0.222', ['poi', 'salary_bonus', 'long_term_incentive']], ['0.403444444444', '0.271407246573', '1.0', ['poi', 'salary_bonus', 'restricted_stock_deferred']], ['0.797363636364', '0.374589266156', '0.171', ['poi', 'salary_bonus', 'shared_receipt_with_poi']], ['0.788727272727', '0.36432160804', '0.2175', ['poi', 'salary_bonus', 'from_messages']], ['0.7823', '0.371552975327', '0.128', ['poi', 'salary_bonus', 'other']], ['0.3558', '0.236910684672', '1.0', ['poi', 'salary_bonus', 'director_fees']], ['0.270444444444', '0.233481204763', '1.0', ['poi', 'salary_bonus', 'resto_dirfees']], ['0.770555555556', '0.463110102157', '0.204', ['poi', 'salary_bonus', 'bonus']], ['0.848769230769', '0.514782608696', '0.296', ['poi', 'salary_bonus', 'total_stock_value']], ['0.7972', '0.481382978723', '0.181', ['poi', 'salary_bonus', 'from_poi_to_this_person']], ['0.787', '0.426966292135', '0.19', ['poi', 'salary_bonus', 'from_this_person_to_poi']], ['0.814833333333', '0.37987012987', '0.1755', ['poi', 'salary_bonus', 'restricted_stock']], ['0.7778', '0.377753303965', '0.1715', ['poi', 'salary_bonus', 'salary']], ['0.828076923077', '0.34100135318', '0.126', ['poi', 'salary_bonus', 'total_payments']], ['0.843', '0.482312338223', '0.2795', ['poi', 'salary_bonus', 'exercised_stock_options']], ['0.763727272727', '0.125156445557', '0.05', ['poi', 'deferral_payments', 'expenses']], ['0.828428571429', '0.328205128205', '0.192', ['poi', 'deferral_payments', 'deferred_income']], ['0.709888888889', '0.215284249767', '0.1155', ['poi', 'deferral_payments', 'long_term_incentive']], ['0.524', '0.270611702128', '0.814', ['poi', 'deferral_payments', 'restricted_stock_deferred']], ['0.735909090909', '0.0814061054579', '0.044', ['poi', 'deferral_payments', 'shared_receipt_with_poi']], ['0.689727272727', '0.121179624665', '0.113', ['poi', 'deferral_payments', 'from_messages']], ['0.743', '0.0989330746848', '0.051', ['poi', 'deferral_payments', 'other']], ['0.4745', '0.213620643788', '0.803', ['poi', 'deferral_payments', 'director_fees']], ['0.3084', '0.195942602672', '0.792', ['poi', 'deferral_payments', 'resto_dirfees']], ['0.7611', '0.346487766377', '0.2195', ['poi', 'deferral_payments', 'bonus']], ['0.862692307692', '0.624565469293', '0.2695', ['poi', 'deferral_payments', 'total_stock_value']], ['0.7149', '0.107834101382', '0.0585', ['poi', 'deferral_payments', 'from_poi_to_this_person']], ['0.797375', '0.0', '0.0', ['poi', 'deferral_payments', 'from_this_person_to_poi']], ['0.808', '0.210280373832', '0.09', ['poi', 'deferral_payments', 'restricted_stock']], ['0.771090909091', '0.269982238011', '0.152', ['poi', 'deferral_payments', 'salary']], ['0.822538461538', '0.10941475827', '0.0215', ['poi', 'deferral_payments', 'total_payments']], ['0.907909090909', '0.490959666203', '0.353', ['poi', 'deferral_payments', 'exercised_stock_options']], ['0.831', '0.610675039246', '0.1945', ['poi', 'expenses', 'deferred_income']], ['0.799181818182', '0.246973365617', '0.051', ['poi', 'expenses', 'long_term_incentive']], ['0.352454545455', '0.219226131755', '1.0', ['poi', 'expenses', 'restricted_stock_deferred']], ['0.793666666667', '0.0', '0.0', ['poi', 'expenses', 'shared_receipt_with_poi']], ['0.886333333333', '0.0', '0.0', ['poi', 'to_messages']], ['0.788', '0.574918566775', '0.1765', ['poi', 'salary_bonus']], ['0.688', '0.0', '0.0', ['poi', 'deferral_payments']], ['0.7997', '0.0', '0.0', ['poi', 'expenses']], ['0.818', '0.595338983051', '0.281', ['poi', 'deferred_income']], ['0.841142857143', '0.185393258427', '0.033', ['poi', 'long_term_incentive']], ['0.838444444444', '0.0', '0.0', ['poi', 'shared_receipt_with_poi']], ['0.844777777778', '0.0', '0.0', ['poi', 'from_messages']], ['0.7722', '0.00709219858156', '0.001', ['poi', 'other']], ['0.788666666667', '0.579804560261', '0.178', ['poi', 'bonus']], ['0.861307692308', '0.614668218859', '0.264', ['poi', 'total_stock_value']], ['0.7365', '0.0263157894737', '0.0015', ['poi', 'from_poi_to_this_person']], ['0.792285714286', '0.0', '0.0', ['poi', 'from_this_person_to_poi']], ['0.81', '0.372159090909', '0.0655', ['poi', 'restricted_stock']], ['0.7966', '0.463983050847', '0.1095', ['poi', 'salary']], ['0.822615384615', '0.0578034682081', '0.01', ['poi', 'total_payments']], ['0.904090909091', '0.460545193687', '0.321', ['poi', 'exercised_stock_options']], ['0.816818181818', '0.487725040917', '0.149', ['poi', 'to_messages', 'salary_bonus']], ['0.762272727273', '0.123623011016', '0.0505', ['poi', 'to_messages', 'deferral_payments']], ['0.829083333333', '0.0', '0.0', ['poi', 'to_messages', 'expenses']], ['0.821818181818', '0.535587188612', '0.1505', ['poi', 'to_messages', 'deferred_income']], ['0.804818181818', '0.33180778032', '0.0725', ['poi', 'to_messages', 'long_term_incentive']], ['0.2783', '0.113994784552', '0.918', ['poi', 'to_messages', 'restricted_stock_deferred']], ['0.871444444444', '0.0', '0.0', ['poi', 'to_messages', 'shared_receipt_with_poi']], ['0.831333333333', '0.0', '0.0', ['poi', 'to_messages', 'from_messages']], ['0.804583333333', '0.0113314447592', '0.002', ['poi', 'to_messages', 'other']], ['0.2664', '0.113375640713', '0.929', ['poi', 'to_messages', 'director_fees']], ['0.151333333333', '0.108238904627', '0.917', ['poi', 'to_messages', 'resto_dirfees']], ['0.819090909091', '0.508503401361', '0.1495', ['poi', 'to_messages', 'bonus']], ['0.867357142857', '0.575342465753', '0.273', ['poi', 'to_messages', 'total_stock_value']], ['0.868666666667', '0.0210526315789', '0.004', ['poi', 'to_messages', 'from_poi_to_this_person']], ['0.849666666667', '0.0', '0.0', ['poi', 'to_messages', 'from_this_person_to_poi']], ['0.8225', '0.334183673469', '0.0655', ['poi', 'to_messages', 'restricted_stock']], ['0.83175', '0.479302832244', '0.11', ['poi', 'to_messages', 'salary']], ['0.832928571429', '0.104895104895', '0.0225', ['poi', 'to_messages', 'total_payments']], ['0.842', '0.555555555556', '0.26', ['poi', 'to_messages', 'exercised_stock_options']], ['0.7625', '0.348668280872', '0.216', ['poi', 'salary_bonus', 'deferral_payments']], ['0.822090909091', '0.528552456839', '0.199', ['poi', 'salary_bonus', 'expenses']], ['0.8345', '0.677651905252', '0.329', ['poi', 'salary_bonus', 'deferred_income']], ['0.789888888889', '0.569961489089', '0.222', ['poi', 'salary_bonus', 'long_term_incentive']], ['0.403444444444', '0.271407246573', '1.0', ['poi', 'salary_bonus', 'restricted_stock_deferred']], ['0.797363636364', '0.374589266156', '0.171', ['poi', 'salary_bonus', 'shared_receipt_with_poi']], ['0.788727272727', '0.36432160804', '0.2175', ['poi', 'salary_bonus', 'from_messages']], ['0.7823', '0.371552975327', '0.128', ['poi', 'salary_bonus', 'other']], ['0.3558', '0.236910684672', '1.0', ['poi', 'salary_bonus', 'director_fees']], ['0.270444444444', '0.233481204763', '1.0', ['poi', 'salary_bonus', 'resto_dirfees']], ['0.770555555556', '0.463110102157', '0.204', ['poi', 'salary_bonus', 'bonus']], ['0.848769230769', '0.514782608696', '0.296', ['poi', 'salary_bonus', 'total_stock_value']], ['0.7972', '0.481382978723', '0.181', ['poi', 'salary_bonus', 'from_poi_to_this_person']], ['0.787', '0.426966292135', '0.19', ['poi', 'salary_bonus', 'from_this_person_to_poi']], ['0.814833333333', '0.37987012987', '0.1755', ['poi', 'salary_bonus', 'restricted_stock']], ['0.7778', '0.377753303965', '0.1715', ['poi', 'salary_bonus', 'salary']], ['0.828076923077', '0.34100135318', '0.126', ['poi', 'salary_bonus', 'total_payments']], ['0.843', '0.482312338223', '0.2795', ['poi', 'salary_bonus', 'exercised_stock_options']], ['0.763727272727', '0.125156445557', '0.05', ['poi', 'deferral_payments', 'expenses']], ['0.828428571429', '0.328205128205', '0.192', ['poi', 'deferral_payments', 'deferred_income']], ['0.709888888889', '0.215284249767', '0.1155', ['poi', 'deferral_payments', 'long_term_incentive']], ['0.524', '0.270611702128', '0.814', ['poi', 'deferral_payments', 'restricted_stock_deferred']], ['0.735909090909', '0.0814061054579', '0.044', ['poi', 'deferral_payments', 'shared_receipt_with_poi']], ['0.689727272727', '0.121179624665', '0.113', ['poi', 'deferral_payments', 'from_messages']], ['0.743', '0.0989330746848', '0.051', ['poi', 'deferral_payments', 'other']], ['0.4745', '0.213620643788', '0.803', ['poi', 'deferral_payments', 'director_fees']], ['0.3084', '0.195942602672', '0.792', ['poi', 'deferral_payments', 'resto_dirfees']], ['0.7611', '0.346487766377', '0.2195', ['poi', 'deferral_payments', 'bonus']], ['0.862692307692', '0.624565469293', '0.2695', ['poi', 'deferral_payments', 'total_stock_value']], ['0.7149', '0.107834101382', '0.0585', ['poi', 'deferral_payments', 'from_poi_to_this_person']], ['0.797375', '0.0', '0.0', ['poi', 'deferral_payments', 'from_this_person_to_poi']], ['0.808', '0.210280373832', '0.09', ['poi', 'deferral_payments', 'restricted_stock']], ['0.771090909091', '0.269982238011', '0.152', ['poi', 'deferral_payments', 'salary']], ['0.822538461538', '0.10941475827', '0.0215', ['poi', 'deferral_payments', 'total_payments']], ['0.907909090909', '0.490959666203', '0.353', ['poi', 'deferral_payments', 'exercised_stock_options']], ['0.831', '0.610675039246', '0.1945', ['poi', 'expenses', 'deferred_income']], ['0.799181818182', '0.246973365617', '0.051', ['poi', 'expenses', 'long_term_incentive']], ['0.352454545455', '0.219226131755', '1.0', ['poi', 'expenses', 'restricted_stock_deferred']], ['0.793666666667', '0.0', '0.0', ['poi', 'expenses', 'shared_receipt_with_poi']], ['0.767166666667', '0.107707509881', '0.0545', ['poi', 'expenses', 'from_messages']], ['0.796454545455', '0.00414937759336', '0.0005', ['poi', 'expenses', 'other']], ['0.342', '0.216497077289', '1.0', ['poi', 'expenses', 'director_fees']], ['0.2396', '0.208246563932', '1.0', ['poi', 'expenses', 'resto_dirfees']], 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'salary']], ['0.848933333333', '0.38898163606', '0.233', ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'total_payments']], ['0.839615384615', '0.469180565627', '0.3235', ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options']], ['0.856714285714', '0.497404844291', '0.2875', ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock']], ['0.848214285714', '0.449474535166', '0.278', ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'salary']], ['0.849333333333', '0.390202702703', '0.231', ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'total_payments']], ['0.841076923077', '0.475699558174', '0.323', ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options']], ['0.847857142857', '0.448575949367', '0.2835', ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'salary']], ['0.856266666667', '0.42641509434', '0.226', ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'total_payments']], ['0.845307692308', '0.495778971604', '0.323', ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options']], ['0.849466666667', '0.392140468227', '0.2345', ['poi', 'bonus', 'total_stock_value', 'salary', 'total_payments']], ['0.846769230769', '0.503115264798', '0.323', ['poi', 'bonus', 'total_stock_value', 'salary', 'exercised_stock_options']], ['0.860533333333', '0.459719789842', '0.2625', ['poi', 'bonus', 'total_stock_value', 'total_payments', 'exercised_stock_options']], ['0.802', '0.326247689464', '0.1765', ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock']], ['0.786', '0.322289156627', '0.1605', ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary']], ['0.838', '0.310734463277', '0.11', ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments']], ['0.845230769231', '0.494764397906', '0.2835', ['poi', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options']], ['0.811083333333', '0.363636363636', '0.178', ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'salary']], ['0.824714285714', '0.255913978495', '0.119', ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'total_payments']], ['0.852785714286', '0.475303643725', '0.2935', ['poi', 'bonus', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options']], ['0.827769230769', '0.335172413793', '0.1215', ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'total_payments']], ['0.841076923077', '0.473214285714', '0.2915', ['poi', 'bonus', 'from_poi_to_this_person', 'salary', 'exercised_stock_options']], ['0.848142857143', '0.440789473684', '0.2345', ['poi', 'bonus', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options']], ['0.7955', '0.299823633157', '0.17', ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'salary']], ['0.8265', '0.271565495208', '0.1275', ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'total_payments']], ['0.854428571429', '0.484033613445', '0.288', ['poi', 'bonus', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options']], ['0.830384615385', '0.357836338419', '0.129', ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'total_payments']], ['0.843384615385', '0.485', '0.291', ['poi', 'bonus', 'from_this_person_to_poi', 'salary', 'exercised_stock_options']], ['0.8505', '0.455331412104', '0.237', ['poi', 'bonus', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options']], ['0.821071428571', '0.25697786333', '0.1335', ['poi', 'bonus', 'restricted_stock', 'salary', 'total_payments']], ['0.8435', '0.427924528302', '0.2835', ['poi', 'bonus', 'restricted_stock', 'salary', 'exercised_stock_options']], ['0.855266666667', '0.420018709074', '0.2245', ['poi', 'bonus', 'restricted_stock', 'total_payments', 'exercised_stock_options']], ['0.848428571429', '0.442669172932', '0.2355', ['poi', 'bonus', 'salary', 'total_payments', 'exercised_stock_options']], ['0.867142857143', '0.572463768116', '0.2765', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock']], ['0.863785714286', '0.556638246041', '0.2285', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary']], ['0.852666666667', '0.388059701493', '0.182', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments']], ['0.839615384615', '0.463139635733', '0.267', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options']], ['0.8605', '0.52579582876', '0.2395', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'salary']], ['0.854', '0.395143487859', '0.179', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'total_payments']], ['0.8555', '0.489813994686', '0.2765', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options']], ['0.849266666667', '0.363920750782', '0.1745', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'total_payments']], ['0.854357142857', '0.482969432314', '0.2765', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'salary', 'exercised_stock_options']], ['0.848266666667', '0.385', '0.231', ['poi', 'total_stock_value', 'from_poi_to_this_person', 'total_payments', 'exercised_stock_options']], ['0.860714285714', '0.528538812785', '0.2315', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'salary']], ['0.854066666667', '0.395580110497', '0.179', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'total_payments']], ['0.843615384615', '0.485013623978', '0.267', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options']], ['0.849866666667', '0.366807610994', '0.1735', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'total_payments']], ['0.8565', '0.495964125561', '0.2765', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'salary', 'exercised_stock_options']], ['0.849', '0.388561816653', '0.231', ['poi', 'total_stock_value', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options']], ['0.8534', '0.390055248619', '0.1765', ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'total_payments']], ['0.8565', '0.495964125561', '0.2765', ['poi', 'total_stock_value', 'restricted_stock', 'salary', 'exercised_stock_options']], ['0.8548', '0.414423076923', '0.2155', ['poi', 'total_stock_value', 'restricted_stock', 'total_payments', 'exercised_stock_options']], ['0.847', '0.373172828891', '0.217', ['poi', 'total_stock_value', 'salary', 'total_payments', 'exercised_stock_options']], ['0.805416666667', '0.291407222914', '0.117', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary']], ['0.824357142857', '0.165938864629', '0.057', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'total_payments']], ['0.863285714286', '0.542156862745', '0.2765', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options']], ['0.839357142857', '0.238993710692', '0.057', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'total_payments']], ['0.855461538462', '0.573511543135', '0.236', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'salary', 'exercised_stock_options']], ['0.849142857143', '0.433491686461', '0.1825', ['poi', 'from_poi_to_this_person', 'from_this_person_to_poi', 'total_payments', 'exercised_stock_options']], ['0.824714285714', '0.169096209913', '0.058', ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'total_payments']], ['0.857857142857', '0.505186721992', '0.2435', ['poi', 'from_poi_to_this_person', 'restricted_stock', 'salary', 'exercised_stock_options']], ['0.852533333333', '0.385775862069', '0.179', ['poi', 'from_poi_to_this_person', 'restricted_stock', 'total_payments', 'exercised_stock_options']], ['0.843214285714', '0.392026578073', '0.177', ['poi', 'from_poi_to_this_person', 'salary', 'total_payments', 'exercised_stock_options']], ['0.827142857143', '0.19476744186', '0.067', ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments']], ['0.857714285714', '0.504264392324', '0.2365', ['poi', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'exercised_stock_options']], ['0.852733333333', '0.387027027027', '0.179', ['poi', 'from_this_person_to_poi', 'restricted_stock', 'total_payments', 'exercised_stock_options']], ['0.844642857143', '0.401129943503', '0.1775', ['poi', 'from_this_person_to_poi', 'salary', 'total_payments', 'exercised_stock_options']], ['0.847333333333', '0.353830645161', '0.1755', ['poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options']]]
The code cell below prints out combinations which meet the criteria that precision and recall each be above 0.3.
# Prints out combinations which meet the criteria of precision and recall each being above 0.3
for a in All:
if float(a[1]) > float(0.3):
if float(a[2]) > float(0.3):
print a
['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']] ['0.904090909091', '0.460545193687', '0.321', ['poi', 'exercised_stock_options']] ['0.8345', '0.677651905252', '0.329', ['poi', 'salary_bonus', 'deferred_income']] ['0.907909090909', '0.490959666203', '0.353', ['poi', 'deferral_payments', 'exercised_stock_options']] ['0.904090909091', '0.460545193687', '0.321', ['poi', 'exercised_stock_options']] ['0.8345', '0.677651905252', '0.329', ['poi', 'salary_bonus', 'deferred_income']] ['0.907909090909', '0.490959666203', '0.353', ['poi', 'deferral_payments', 'exercised_stock_options']] ['0.8343', '0.676258992806', '0.329', ['poi', 'deferred_income', 'bonus']] ['0.863571428571', '0.535046728972', '0.3435', ['poi', 'deferred_income', 'total_stock_value']] ['0.837454545455', '0.605158730159', '0.305', ['poi', 'deferred_income', 'salary']] ['0.861769230769', '0.578621223857', '0.3735', ['poi', 'deferred_income', 'exercised_stock_options']] ['0.842666666667', '0.550816696915', '0.3035', ['poi', 'from_messages', 'exercised_stock_options']] ['0.857333333333', '0.634078212291', '0.3405', ['poi', 'to_messages', 'salary_bonus', 'deferred_income']] ['0.856615384615', '0.557823129252', '0.328', ['poi', 'to_messages', 'deferral_payments', 'exercised_stock_options']] ['0.857583333333', '0.635097493036', '0.342', ['poi', 'to_messages', 'deferred_income', 'bonus']] ['0.851642857143', '0.470811220622', '0.3105', ['poi', 'to_messages', 'deferred_income', 'total_stock_value']] ['0.862214285714', '0.528698464026', '0.327', ['poi', 'to_messages', 'deferred_income', 'exercised_stock_options']] ['0.856666666667', '0.642857142857', '0.315', ['poi', 'salary_bonus', 'expenses', 'deferred_income']] ['0.857571428571', '0.502479338843', '0.304', ['poi', 'salary_bonus', 'expenses', 'total_stock_value']] ['0.840363636364', '0.596979332273', '0.3755', ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive']] ['0.840666666667', '0.534214618974', '0.3435', ['poi', 'salary_bonus', 'deferred_income', 'shared_receipt_with_poi']] ['0.856666666667', '0.611111111111', '0.385', ['poi', 'salary_bonus', 'deferred_income', 'from_messages']] ['0.8151', '0.564918314703', '0.3285', ['poi', 'salary_bonus', 'deferred_income', 'bonus']] ['0.858214285714', '0.505376344086', '0.3525', ['poi', 'salary_bonus', 'deferred_income', 'total_stock_value']] ['0.856083333333', '0.623978201635', '0.3435', ['poi', 'salary_bonus', 'deferred_income', 'from_poi_to_this_person']] ['0.828454545455', '0.549087749783', '0.316', ['poi', 'salary_bonus', 'deferred_income', 'from_this_person_to_poi']] ['0.847384615385', '0.506079027356', '0.333', ['poi', 'salary_bonus', 'deferred_income', 'restricted_stock']] ['0.86', '0.515243902439', '0.338', ['poi', 'salary_bonus', 'deferred_income', 'exercised_stock_options']] ['0.834', '0.444755244755', '0.318', ['poi', 'salary_bonus', 'long_term_incentive', 'total_stock_value']] ['0.839384615385', '0.466257668712', '0.304', ['poi', 'salary_bonus', 'long_term_incentive', 'exercised_stock_options']] ['0.857214285714', '0.500399680256', '0.313', ['poi', 'salary_bonus', 'from_messages', 'total_stock_value']] ['0.848076923077', '0.509928514694', '0.321', ['poi', 'salary_bonus', 'from_messages', 'exercised_stock_options']] ['0.840076923077', '0.472739820566', '0.3425', ['poi', 'salary_bonus', 'bonus', 'total_stock_value']] ['0.848153846154', '0.510942760943', '0.3035', ['poi', 'salary_bonus', 'total_stock_value', 'from_poi_to_this_person']] ['0.841538461538', '0.476265822785', '0.301', ['poi', 'salary_bonus', 'total_stock_value', 'salary']] ['0.848846153846', '0.512858192506', '0.349', ['poi', 'salary_bonus', 'total_stock_value', 'exercised_stock_options']] ['0.843230769231', '0.485015772871', '0.3075', ['poi', 'salary_bonus', 'salary', 'exercised_stock_options']] ['0.8635', '0.537616229924', '0.318', ['poi', 'deferral_payments', 'deferred_income', 'total_stock_value']] ['0.858230769231', '0.568799298861', '0.3245', ['poi', 'deferral_payments', 'deferred_income', 'exercised_stock_options']] ['0.846846153846', '0.503345724907', '0.3385', ['poi', 'deferral_payments', 'from_messages', 'exercised_stock_options']] ['0.861', '0.588613406795', '0.3205', ['poi', 'deferral_payments', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.8555', '0.64029535865', '0.3035', ['poi', 'deferral_payments', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.856', '0.637931034483', '0.3145', ['poi', 'expenses', 'deferred_income', 'bonus']] ['0.863928571429', '0.534849596478', '0.3645', ['poi', 'expenses', 'deferred_income', 'total_stock_value']] ['0.852666666667', '0.605646630237', '0.3325', ['poi', 'expenses', 'deferred_income', 'salary']] ['0.868714285714', '0.562211981567', '0.366', ['poi', 'expenses', 'deferred_income', 'exercised_stock_options']] ['0.860285714286', '0.518644067797', '0.306', ['poi', 'expenses', 'bonus', 'total_stock_value']] ['0.836416666667', '0.514670896114', '0.3245', ['poi', 'deferred_income', 'long_term_incentive', 'from_messages']] ['0.837909090909', '0.587008821171', '0.366', ['poi', 'deferred_income', 'long_term_incentive', 'bonus']] ['0.865214285714', '0.540099361249', '0.3805', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value']] ['0.8345', '0.505766062603', '0.307', ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person']] ['0.846923076923', '0.503709198813', '0.3395', ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock']] ['0.834454545455', '0.576430401366', '0.3375', ['poi', 'deferred_income', 'long_term_incentive', 'salary']] ['0.854', '0.538230884558', '0.359', ['poi', 'deferred_income', 'long_term_incentive', 'exercised_stock_options']] ['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']] ['0.840583333333', '0.534010946052', '0.3415', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus']] ['0.848642857143', '0.46035976016', '0.3455', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value']] ['0.862571428571', '0.527220630372', '0.368', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'exercised_stock_options']] ['0.857', '0.616968698517', '0.3745', ['poi', 'deferred_income', 'from_messages', 'bonus']] ['0.866428571429', '0.545710267229', '0.388', ['poi', 'deferred_income', 'from_messages', 'total_stock_value']] ['0.849', '0.515276630884', '0.312', ['poi', 'deferred_income', 'from_messages', 'restricted_stock']] ['0.856', '0.5512', '0.3445', ['poi', 'deferred_income', 'from_messages', 'salary']] ['0.872142857143', '0.571041948579', '0.422', ['poi', 'deferred_income', 'from_messages', 'exercised_stock_options']] ['0.859714285714', '0.513024602026', '0.3545', ['poi', 'deferred_income', 'bonus', 'total_stock_value']] ['0.852333333333', '0.600706713781', '0.34', ['poi', 'deferred_income', 'bonus', 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'bonus', 'from_this_person_to_poi']] ['0.847230769231', '0.504964539007', '0.356', ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'restricted_stock']] ['0.834727272727', '0.575581395349', '0.3465', ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'salary']] ['0.856642857143', '0.497614178596', '0.365', ['poi', 'deferred_income', 'long_term_incentive', 'bonus', 'exercised_stock_options']] ['0.857214285714', '0.500318674315', '0.3925', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_poi_to_this_person']] ['0.861928571429', '0.522229595222', '0.3935', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'from_this_person_to_poi']] ['0.8605', '0.51642208246', '0.3695', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'restricted_stock']] ['0.859142857143', '0.509162303665', '0.389', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'salary']] ['0.848866666667', '0.411295681063', '0.3095', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'total_payments']] ['0.856928571429', '0.499073502162', '0.404', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options']] ['0.846769230769', '0.502828854314', '0.3555', ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'restricted_stock']] ['0.832166666667', '0.494883040936', '0.3385', ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'salary']] ['0.861857142857', '0.523174157303', '0.3725', ['poi', 'deferred_income', 'long_term_incentive', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.828461538462', '0.428836633663', '0.3465', ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'restricted_stock']] ['0.83975', '0.528925619835', '0.352', ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'salary']] ['0.857571428571', '0.502080443828', '0.362', ['poi', 'deferred_income', 'long_term_incentive', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.846846153846', '0.503230437904', '0.3505', ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'salary']] ['0.854571428571', '0.488110964333', '0.3695', ['poi', 'deferred_income', 'long_term_incentive', 'restricted_stock', 'exercised_stock_options']] ['0.870214285714', '0.564482029598', '0.4005', ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'exercised_stock_options']] ['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees']] ['0.839416666667', '0.528360528361', '0.34', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'bonus']] ['0.851428571429', '0.473684210526', '0.36', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'total_stock_value']] ['0.847615384615', '0.50700073692', '0.344', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'salary']] ['0.861214285714', '0.519480519481', '0.38', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_messages', 'exercised_stock_options']] ['0.840571428571', '0.428217821782', '0.346', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'total_stock_value']] ['0.837833333333', '0.520897832817', '0.3365', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_poi_to_this_person']] ['0.82825', '0.477882523568', '0.3295', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'from_this_person_to_poi']] ['0.823692307692', '0.404699738903', '0.31', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'restricted_stock']] ['0.845714285714', '0.447643979058', '0.342', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options']] ['0.8445', '0.443159922929', '0.345', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_poi_to_this_person']] ['0.844214285714', '0.441499676794', '0.3415', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'from_this_person_to_poi']] ['0.849857142857', '0.465863453815', '0.348', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'restricted_stock']] ['0.849', '0.462450592885', '0.351', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'salary']] ['0.860571428571', '0.516304347826', '0.38', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'total_stock_value', 'exercised_stock_options']] ['0.858', '0.504115226337', '0.3675', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.860642857143', '0.517363571935', '0.365', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.834142857143', '0.399375', '0.3195', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'salary']] ['0.853', '0.480055020633', '0.349', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'restricted_stock', 'exercised_stock_options']] ['0.8515', '0.472626472626', '0.341', ['poi', 'deferred_income', 'shared_receipt_with_poi', 'salary', 'exercised_stock_options']] ['0.855142857143', '0.488691437803', '0.3025', ['poi', 'deferred_income', 'from_messages', 'other', 'exercised_stock_options']] ['0.854071428571', '0.485344239945', '0.356', ['poi', 'deferred_income', 'from_messages', 'bonus', 'total_stock_value']] ['0.848', '0.573578595318', '0.343', ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_poi_to_this_person']] ['0.852', '0.598591549296', '0.34', ['poi', 'deferred_income', 'from_messages', 'bonus', 'from_this_person_to_poi']] ['0.842076923077', '0.479724560061', '0.3135', ['poi', 'deferred_income', 'from_messages', 'bonus', 'restricted_stock']] ['0.847615384615', '0.507084265474', '0.34', ['poi', 'deferred_income', 'from_messages', 'bonus', 'salary']] ['0.858714285714', '0.507913669065', '0.353', ['poi', 'deferred_income', 'from_messages', 'bonus', 'exercised_stock_options']] ['0.866285714286', '0.545070422535', '0.387', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_poi_to_this_person']] ['0.8655', '0.541459957477', '0.382', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'from_this_person_to_poi']] ['0.867357142857', '0.550105115627', '0.3925', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'restricted_stock']] ['0.8695', '0.560701754386', '0.3995', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'salary']] ['0.8604', '0.463846153846', '0.3015', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'total_payments']] ['0.855285714286', '0.491698595147', '0.385', ['poi', 'deferred_income', 'from_messages', 'total_stock_value', 'exercised_stock_options']] ['0.845307692308', '0.496068620443', '0.347', ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'salary']] ['0.870142857143', '0.561736770692', '0.414', ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.835692307692', '0.455844155844', '0.351', ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'salary']] ['0.871142857143', '0.56940509915', '0.402', ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.855714285714', '0.493084370678', '0.3565', ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'salary']] ['0.862928571429', '0.527126590757', '0.3935', ['poi', 'deferred_income', 'from_messages', 'restricted_stock', 'exercised_stock_options']] ['0.867928571429', '0.553356890459', '0.3915', ['poi', 'deferred_income', 'from_messages', 'salary', 'exercised_stock_options']] ['0.857357142857', '0.501120238984', '0.3355', ['poi', 'deferred_income', 'other', 'total_stock_value', 'exercised_stock_options']] ['0.856785714286', '0.498205312276', '0.347', ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_poi_to_this_person']] ['0.856642857143', '0.497543859649', '0.3545', ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'from_this_person_to_poi']] ['0.857071428571', '0.499637943519', '0.345', ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'restricted_stock']] ['0.8465', '0.45202833226', '0.351', ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'salary']] ['0.856285714286', '0.496138996139', '0.3855', ['poi', 'deferred_income', 'bonus', 'total_stock_value', 'exercised_stock_options']] ['0.83625', '0.514546965919', '0.3095', ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'from_this_person_to_poi']] ['0.845230769231', '0.495260663507', '0.3135', ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'restricted_stock']] ['0.8425', '0.547993019197', '0.314', ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'salary']] ['0.861785714286', '0.524790236461', '0.344', ['poi', 'deferred_income', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.835692307692', '0.450581395349', '0.31', ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'restricted_stock']] ['0.839166666667', '0.529914529915', '0.31', ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'salary']] ['0.8605', '0.517629407352', '0.345', ['poi', 'deferred_income', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.842923076923', '0.483771251932', '0.313', ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'salary']] ['0.852214285714', '0.47622329428', '0.3455', ['poi', 'deferred_income', 'bonus', 'restricted_stock', 'exercised_stock_options']] ['0.863071428571', '0.530809205642', '0.3575', ['poi', 'deferred_income', 'bonus', 'salary', 'exercised_stock_options']] ['0.861', '0.519970414201', '0.3515', ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi']] ['0.866142857143', '0.545918367347', '0.3745', ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'restricted_stock']] ['0.8595', '0.512123438648', '0.3485', ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'salary']] ['0.859428571429', '0.510752688172', '0.38', ['poi', 'deferred_income', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.8675', '0.555898226677', '0.3605', ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'restricted_stock']] ['0.865714285714', '0.546367851623', '0.3535', ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'salary']] ['0.863785714286', '0.532135452661', '0.385', ['poi', 'deferred_income', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.860071428571', '0.514909090909', '0.354', ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'salary']] ['0.862', '0.472868217054', '0.305', ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'total_payments']] ['0.867071428571', '0.54982078853', '0.3835', ['poi', 'deferred_income', 'total_stock_value', 'restricted_stock', 'exercised_stock_options']] ['0.862142857143', '0.523680649526', '0.387', ['poi', 'deferred_income', 'total_stock_value', 'salary', 'exercised_stock_options']] ['0.861533333333', '0.47263681592', '0.3325', ['poi', 'deferred_income', 'total_stock_value', 'total_payments', 'exercised_stock_options']] ['0.871785714286', '0.579642579643', '0.373', ['poi', 'deferred_income', 'from_poi_to_this_person', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.841692307692', '0.478096676737', '0.3165', ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'salary']] ['0.862857142857', '0.527972027972', '0.3775', ['poi', 'deferred_income', 'from_poi_to_this_person', 'restricted_stock', 'exercised_stock_options']] ['0.867285714286', '0.557073954984', '0.3465', ['poi', 'deferred_income', 'from_poi_to_this_person', 'salary', 'exercised_stock_options']] ['0.829615384615', '0.426015141087', '0.3095', ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'salary']] ['0.863357142857', '0.532008830022', '0.3615', ['poi', 'deferred_income', 'from_this_person_to_poi', 'restricted_stock', 'exercised_stock_options']] ['0.869285714286', '0.569672131148', '0.3475', ['poi', 'deferred_income', 'from_this_person_to_poi', 'salary', 'exercised_stock_options']] ['0.860071428571', '0.514844315713', '0.3555', ['poi', 'deferred_income', 'restricted_stock', 'salary', 'exercised_stock_options']] ['0.854866666667', '0.436101083032', '0.302', ['poi', 'deferred_income', 'restricted_stock', 'total_payments', 'exercised_stock_options']] ['0.825384615385', '0.409517426273', '0.3055', ['poi', 'long_term_incentive', 'shared_receipt_with_poi', 'bonus', 'exercised_stock_options']] ['0.833307692308', '0.442214532872', '0.3195', ['poi', 'long_term_incentive', 'from_messages', 'bonus', 'exercised_stock_options']] ['0.830384615385', '0.429261559696', '0.311', ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'salary']] ['0.835461538462', '0.452494873548', '0.331', ['poi', 'long_term_incentive', 'bonus', 'total_stock_value', 'exercised_stock_options']] ['0.842846153846', '0.483030781373', '0.306', ['poi', 'long_term_incentive', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.835769230769', '0.452229299363', '0.3195', ['poi', 'long_term_incentive', 'bonus', 'salary', 'exercised_stock_options']] ['0.840571428571', '0.422872340426', '0.318', ['poi', 'shared_receipt_with_poi', 'bonus', 'total_stock_value', 'exercised_stock_options']] ['0.852714285714', '0.476226993865', '0.3105', ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_poi_to_this_person']] ['0.855214285714', '0.489051094891', '0.3015', ['poi', 'from_messages', 'bonus', 'total_stock_value', 'from_this_person_to_poi']] ['0.854214285714', '0.484194294526', '0.314', ['poi', 'from_messages', 'bonus', 'total_stock_value', 'restricted_stock']] ['0.845714285714', '0.445355191257', '0.326', ['poi', 'from_messages', 'bonus', 'total_stock_value', 'exercised_stock_options']] ['0.843692307692', '0.487635239567', '0.3155', ['poi', 'from_messages', 'bonus', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.846076923077', '0.499591169256', '0.3055', ['poi', 'from_messages', 'bonus', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.849', '0.458394160584', '0.314', ['poi', 'from_messages', 'bonus', 'restricted_stock', 'exercised_stock_options']] ['0.839615384615', '0.469180565627', '0.3235', ['poi', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.841076923077', '0.475699558174', '0.323', ['poi', 'bonus', 'total_stock_value', 'from_this_person_to_poi', 'exercised_stock_options']] ['0.845307692308', '0.495778971604', '0.323', ['poi', 'bonus', 'total_stock_value', 'restricted_stock', 'exercised_stock_options']] ['0.846769230769', '0.503115264798', '0.323', ['poi', 'bonus', 'total_stock_value', 'salary', 'exercised_stock_options']]
# Prints out combinations which meet the criteria of precision being above 0.3 but recall being above 0.4;
for a in All:
if float(a[1]) > float(0.3):
if float(a[2]) > float(0.4):
print a
['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']] ['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees']] ['0.872142857143', '0.571041948579', '0.422', ['poi', 'deferred_income', 'from_messages', 'exercised_stock_options']] ['0.837727272727', '0.577393808495', '0.401', ['poi', 'salary_bonus', 'deferred_income', 'long_term_incentive', 'bonus']] ['0.874214285714', '0.586281588448', '0.406', ['poi', 'expenses', 'deferred_income', 'from_messages', 'total_stock_value']] ['0.861357142857', '0.518706404566', '0.409', ['poi', 'deferred_income', 'long_term_incentive', 'from_messages', 'total_stock_value']] ['0.856928571429', '0.499073502162', '0.404', ['poi', 'deferred_income', 'long_term_incentive', 'total_stock_value', 'exercised_stock_options']] ['0.870214285714', '0.564482029598', '0.4005', ['poi', 'deferred_income', 'long_term_incentive', 'salary', 'exercised_stock_options']] ['0.707333333333', '0.362844702467', '1.0', ['poi', 'deferred_income', 'restricted_stock_deferred', 'director_fees', 'resto_dirfees']] ['0.870142857143', '0.561736770692', '0.414', ['poi', 'deferred_income', 'from_messages', 'from_poi_to_this_person', 'exercised_stock_options']] ['0.871142857143', '0.56940509915', '0.402', ['poi', 'deferred_income', 'from_messages', 'from_this_person_to_poi', 'exercised_stock_options']]
As is apparent in the cell above, very few combinations have precision above 0.3 and recall anywhere near 0.5 or higher. My identifier, which has 'deferred_income', 'restricted_stock_deferred', and 'director_fees' as features is matched only by one instance where another set of features (This combination includes my set of 3 features and 'resto_dirfees' - a feature created by me) meets similar but not better performance. This suggests that 'resto_dirfees' does not add much and thus I did not use it in my identifier.